Senior Microsoft Fabric Architect and Consulting Lead
for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title as heading. No Job ID. Remove boilerplate. Preserve all substantive info.
We need to parse content.
Let's extract sections:
- About the role: The introductory paragraph(s) describing role: "The Technology Department ... seeking a Senior Microsoft Fabric Architect and Consulting Lead ...". Could be "About the role". We'll include.
- Responsibilities: The "What You’ll Do" section with bullet points (client engagement, engagement management, team and delivery leadership, architecture and solution design, platform governance and operations). We'll list as - .
- Requirements: Might be "What We’re Looking For" bullet list. Could be considered Requirements or Skills. The instruction: Use headings for Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to decide mapping. The posting includes "What We’re Looking For" which is a list of expertise and experience. Could be Requirements or Skills. Also "Your Qualifications" list: Bachelor's degree, 8+ years, 3+ years Fabric, certifications. That's Qualifications. Also there is Pay: Salary Range $150,000—$180,000 USD. Also Benefits: description of benefits, Work Flex program, etc. Also maybe Schedule not mentioned. So we include Benefits and Pay sections. No Schedule.
We must not create sections with filler like "commensurate with experience". Pay is specific.
We need to avoid duplication. Ensure we preserve all substantive info.
Let's craft HTML:
About the role
... intro paragraph(s) ...
Responsibilities
- ... each bullet ...
We need to break responsibilities into logical groups: Client Engagement and Consulting Leadership, Engagement Management, Team and Delivery Leadership, Architecture and Solution Design, Platform Governance and Operations. Could keep as separate under each subheading? But only allowed headings are the predefined list; we cannot add extra headings. However we can still have - with long sentences containing the subpoints. Could also nest
inside - but that's okay. Simpler: one
with each responsibility as a - containing the detailed description.
We need to capture all bullet points from "What You’ll Do". Let's extract them:
Client Engagement and Consulting Leadership:
- Serve as the senior technical and consulting lead for Microsoft Fabric client engagements.
- Lead client discovery sessions, architecture workshops, roadmap discussions, and executive briefings.
- Build strong relationships with client executives, business leaders, data teams, and technology stakeholders.
- Translate business goals, operating needs, and technical constraints into clear architecture and delivery recommendations.
- Communicate complex technical concepts in plain language appropriate for both executive and technical audiences.
- Establish engagement expectations, decision processes, working agreements, and communication cadence.
- Manage client concerns, difficult conversations, competing priorities, and changing requirements with professionalism.
- Provide clear recommendations, identify tradeoffs, and help clients make informed decisions.
- Identify follow-on opportunities where additional advisory, data, analytics, automation, or AI services could create client value.
Engagement Management:
- Lead assigned client engagements with accountability for scope, schedule, budget awareness, quality, risks, and outcomes.
- Coordinate delivery plans, milestones, dependencies, and responsibilities across Anders and client teams.
- Monitor engagement progress and proactively communicate status, decisions, risks, issues, and required client actions.
- Partner with project managers and practice leaders on estimates, staffing, utilization, and delivery planning.
- Contribute to proposals, statements of work, assumptions, scope definitions, and change requests.
- Ensure deliverables are complete, understandable, and aligned with client expectations before presentation or release.
- Support adoption, knowledge transfer, and transition planning so clients can operate and extend delivered solutions.
Team and Delivery Leadership:
- Lead and coordinate Data Engineers, Power BI Developers, consultants, and other specialists assigned to an engagement.
- Provide clear direction, delegate effectively, and maintain accountability for team commitments and delivery quality.
- Facilitate team working sessions, architecture reviews, design decisions, and code reviews.
- Coach team members on consulting behaviors, client communication, technical standards, and delivery practices.
- Resolve delivery blockers and escalate issues early when client outcomes, scope, or quality are at risk.
- Create a collaborative environment across Anders, client, and third-party teams.
Architecture and Solution Design:
- Lead the architecture and design of end-to-end Microsoft Fabric solutions.
- Define enterprise data platform strategy centered on OneLake.
- Design Lakehouse, Warehouse, Data Engineering, semantic modeling, and Power BI architectures.
- Establish Medallion Architecture standards across Bronze, Silver, and Gold layers.
- Define Direct Lake, data integration, orchestration, and reusable engineering patterns.
- Create architecture diagrams, data flow maps, decision records, technical standards, and implementation roadmaps.
- Ensure solutions are scalable, maintainable, secure, supportable, and aligned with client business goals.
Platform Governance and Operations:
- Establish security architecture, including workspace design, role-based access control, row-level security, and data access standards.
- Define Microsoft Fabric governance, data ownership, development, deployment, and support frameworks.
- Lead capacity planning, performance management, and workload optimization.
- Implement monitoring, observability, data quality, lineage, and operational practices.
- Oversee continuous integration, continuous delivery, environment promotion, and deployment automation.
Now Requirements/Skills: "What We’re Looking For" bullet list:
- Expert-level knowledge of Microsoft Fabric, including OneLake, Lakehouse, Data Warehouse, Data Engineering, semantic models, Power BI, and Fabric Pipelines.
- Strong experience with SQL, Python, PySpark, and Azure Data Factory or comparable data integration and orchestration technologies.
- Strong understanding of enterprise data architecture, including Medallion Architecture, data modeling, data integration, governance, security, and production data environments.
- Experience designing scalable and secure enterprise data platforms and establishing associated governance and operating models.
- Experience with capacity planning, performance optimization, monitoring, observability, data quality, lineage, and deployment automation.
- Strong understanding of cloud data and analytics technologies, preferably within the Microsoft Azure ecosystem.
- Experience with Azure Databricks, Azure Synapse Analytics, Microsoft Purview, Microsoft AI Foundry, or Azure AI Services is preferred.
- Proven ability to lead technical teams and coordinate work across business, technical, and project stakeholders.
- Demonstrated consulting experience, including client discovery, solution design, executive presentations, and technical advisory responsibilities.
- Experience contributing to project estimates, proposals, statements of work, and delivery planning.
- Excellent written, verbal, presentation, facilitation, and executive communication skills.
- Strong consultative, analytical, and problem-solving skills, with the ability to explain complex technical concepts to technical and non-technical audiences.
- Ability to provide direct recommendations, communicate technical tradeoffs, and guide clients through complex decisions.
- Ability to manage multiple priorities while maintaining strong client relationships and delivery quality.
- High level of professionalism and client-facing confidence.
We could treat this as Skills or Requirements. The instruction: Use headings for Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We have both Qualifications and Skills sections. We'll put "What We’re Looking For" under Skills (or Requirements). And "Your Qualifications" under Qualifications.
Qualifications:
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field (or equivalent professional experience).
- 8+ years of progressive experience designing and delivering enterprise data, analytics, or technology platforms.
- 3+ years of experience working with Microsoft Fabric or an equivalent modern data platform.
- Microsoft Certified: Fabric Analytics Engineer Associate, Fabric Data Engineer Associate, or other relevant Microsoft Fabric certification preferred.
- Additional certifications related to Azure, data engineering, analytics, cloud architecture, or solution architecture are a plus.
Benefits: description: "Why You’ll Love Working Here At Anders, taking care of our employees is a top priority. Our welcoming and collaborative culture will make you feel like a part of the team from day one. From professional development opportunities to benefits that directly impact mental, physical and financial wellness, Anders offers unique incentives that enrich your life and facilitate growth, including our Work Flex program which gives you the opportunity to work at our Chesterfield office, our Downtown St. Louis office, remotely, adopt a hybrid approach or even switch between these options as you prefer. Learn more about our full benefit offerings, Work Flex program, and our Inclusion Network at our careers page: anderscpa.com/careers/working-at-anders/"
We should keep that as a
under Benefits heading.
Pay: Salary Range $150,000—$180,000 USD. Also note: "The stated pay scale reflects the range that Anders reasonably expects to pay for this position. The actual pay rate for this position will be dependent on a variety of factors, including an applicant’s years of experience, unique skills and abilities, education, alignment with similar internal candidates, marketplace factors, other requirements for the position, and firm business practices." That's substantive; we should include that as well under Pay.
Schedule: Not mentioned, so omit.
We must not include boilerplate like EEO, legal, etc. The posting includes "All applicants for this position must be authorized to work in the United States now and in the future without requiring sponsorship." That's substantive? It's a requirement about work authorization. Should we keep? It's not boilerplate? It's a requirement. Could be included under Requirements or Qualifications. But the instruction says remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate. Work authorization is not exactly EEO; it's a legal requirement but maybe considered boilerplate? Many job posts include that. It's likely considered boilerplate; but it's a specific requirement. However the instruction says remove EEO/equal-opportunity/scam-warning boilerplate. Work authorization is not EEO. Might keep. But to be safe, we could include it under Requirements as a bullet. However the instruction says "Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate". Work authorization is legal but not necessarily boilerplate; but many consider it standard. I'd keep it as part of Requirements.
Also there is a paragraph about Anders history etc. That's boilerplate about company; we should remove. The paragraph: "For 60 years, Anders has delivered full-service accounting..." etc. That's company description; likely boilerplate. Remove.
Also "All applicants for this position must be authorized to work in the United States now and in the future without requiring sponsorship." Keep maybe.
Also "If you have questions about the data we collect and how it's used, view the Anders Privacy Policy." That's boilerplate; remove.
Also social media links etc. Remove.
Now craft HTML.
We'll need to ensure we don't repeat job title as heading. We'll not.
We'll output only HTML fragment.
Let's construct:
About the role
The Technology Department of one of the fastest-growing accounting firms in the country is seeking a Senior Microsoft Fabric Architect and Consulting Lead who is motivated to learn, excited to collaborate and passionate about delivering outstanding results. This individual will have a direct impact on our firm’s mission of serving as a catalyst for those striving to achieve their highest potential. The Sr Microsoft Fabric Architect and Consulting Lead is responsible for designing, architecting, and guiding the delivery of enterprise data and analytics solutions primarily leveraging Microsoft Fabric and related MS family of products (Power Platform Copilot, etc.). This role leads clients, data teams, and technology stakeholders in value identification, compelling understanding of enterprise intelligence, and defining scalable, secure, maintainable, and practical data platform solutions. Positioned as a senior technical and consulting role, the Sr. Microsoft Fabric Architect leads client engagements from discovery and solution design through implementation, adoption, and transition. This role serves as a trusted technical advisor to clients while providing architectural direction to Data Engineers, Power BI Develop
About the role
... intro paragraph(s) ...
Responsibilities
- ... each bullet ...
- under each subheading? But only allowed headings are the predefined list; we cannot add extra headings. However we can still have
- with long sentences containing the subpoints. Could also nest
- inside
- but that's okay. Simpler: one
- with each responsibility as a
- containing the detailed description.
We need to capture all bullet points from "What You’ll Do". Let's extract them:
Client Engagement and Consulting Leadership:
- Serve as the senior technical and consulting lead for Microsoft Fabric client engagements.
- Lead client discovery sessions, architecture workshops, roadmap discussions, and executive briefings.
- Build strong relationships with client executives, business leaders, data teams, and technology stakeholders.
- Translate business goals, operating needs, and technical constraints into clear architecture and delivery recommendations.
- Communicate complex technical concepts in plain language appropriate for both executive and technical audiences.
- Establish engagement expectations, decision processes, working agreements, and communication cadence.
- Manage client concerns, difficult conversations, competing priorities, and changing requirements with professionalism.
- Provide clear recommendations, identify tradeoffs, and help clients make informed decisions.
- Identify follow-on opportunities where additional advisory, data, analytics, automation, or AI services could create client value.
Engagement Management:
- Lead assigned client engagements with accountability for scope, schedule, budget awareness, quality, risks, and outcomes.
- Coordinate delivery plans, milestones, dependencies, and responsibilities across Anders and client teams.
- Monitor engagement progress and proactively communicate status, decisions, risks, issues, and required client actions.
- Partner with project managers and practice leaders on estimates, staffing, utilization, and delivery planning.
- Contribute to proposals, statements of work, assumptions, scope definitions, and change requests.
- Ensure deliverables are complete, understandable, and aligned with client expectations before presentation or release.
- Support adoption, knowledge transfer, and transition planning so clients can operate and extend delivered solutions.
Team and Delivery Leadership:
- Lead and coordinate Data Engineers, Power BI Developers, consultants, and other specialists assigned to an engagement.
- Provide clear direction, delegate effectively, and maintain accountability for team commitments and delivery quality.
- Facilitate team working sessions, architecture reviews, design decisions, and code reviews.
- Coach team members on consulting behaviors, client communication, technical standards, and delivery practices.
- Resolve delivery blockers and escalate issues early when client outcomes, scope, or quality are at risk.
- Create a collaborative environment across Anders, client, and third-party teams.
Architecture and Solution Design:
- Lead the architecture and design of end-to-end Microsoft Fabric solutions.
- Define enterprise data platform strategy centered on OneLake.
- Design Lakehouse, Warehouse, Data Engineering, semantic modeling, and Power BI architectures.
- Establish Medallion Architecture standards across Bronze, Silver, and Gold layers.
- Define Direct Lake, data integration, orchestration, and reusable engineering patterns.
- Create architecture diagrams, data flow maps, decision records, technical standards, and implementation roadmaps.
- Ensure solutions are scalable, maintainable, secure, supportable, and aligned with client business goals.
Platform Governance and Operations:
- Establish security architecture, including workspace design, role-based access control, row-level security, and data access standards.
- Define Microsoft Fabric governance, data ownership, development, deployment, and support frameworks.
- Lead capacity planning, performance management, and workload optimization.
- Implement monitoring, observability, data quality, lineage, and operational practices.
- Oversee continuous integration, continuous delivery, environment promotion, and deployment automation.
Now Requirements/Skills: "What We’re Looking For" bullet list:
- Expert-level knowledge of Microsoft Fabric, including OneLake, Lakehouse, Data Warehouse, Data Engineering, semantic models, Power BI, and Fabric Pipelines.
- Strong experience with SQL, Python, PySpark, and Azure Data Factory or comparable data integration and orchestration technologies.
- Strong understanding of enterprise data architecture, including Medallion Architecture, data modeling, data integration, governance, security, and production data environments.
- Experience designing scalable and secure enterprise data platforms and establishing associated governance and operating models.
- Experience with capacity planning, performance optimization, monitoring, observability, data quality, lineage, and deployment automation.
- Strong understanding of cloud data and analytics technologies, preferably within the Microsoft Azure ecosystem.
- Experience with Azure Databricks, Azure Synapse Analytics, Microsoft Purview, Microsoft AI Foundry, or Azure AI Services is preferred.
- Proven ability to lead technical teams and coordinate work across business, technical, and project stakeholders.
- Demonstrated consulting experience, including client discovery, solution design, executive presentations, and technical advisory responsibilities.
- Experience contributing to project estimates, proposals, statements of work, and delivery planning.
- Excellent written, verbal, presentation, facilitation, and executive communication skills.
- Strong consultative, analytical, and problem-solving skills, with the ability to explain complex technical concepts to technical and non-technical audiences.
- Ability to provide direct recommendations, communicate technical tradeoffs, and guide clients through complex decisions.
- Ability to manage multiple priorities while maintaining strong client relationships and delivery quality.
- High level of professionalism and client-facing confidence.
We could treat this as Skills or Requirements. The instruction: Use headings for Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We have both Qualifications and Skills sections. We'll put "What We’re Looking For" under Skills (or Requirements). And "Your Qualifications" under Qualifications.
Qualifications:
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field (or equivalent professional experience).
- 8+ years of progressive experience designing and delivering enterprise data, analytics, or technology platforms.
- 3+ years of experience working with Microsoft Fabric or an equivalent modern data platform.
- Microsoft Certified: Fabric Analytics Engineer Associate, Fabric Data Engineer Associate, or other relevant Microsoft Fabric certification preferred.
- Additional certifications related to Azure, data engineering, analytics, cloud architecture, or solution architecture are a plus.
Benefits: description: "Why You’ll Love Working Here At Anders, taking care of our employees is a top priority. Our welcoming and collaborative culture will make you feel like a part of the team from day one. From professional development opportunities to benefits that directly impact mental, physical and financial wellness, Anders offers unique incentives that enrich your life and facilitate growth, including our Work Flex program which gives you the opportunity to work at our Chesterfield office, our Downtown St. Louis office, remotely, adopt a hybrid approach or even switch between these options as you prefer. Learn more about our full benefit offerings, Work Flex program, and our Inclusion Network at our careers page: anderscpa.com/careers/working-at-anders/"
We should keep that as a
under Benefits heading. Pay: Salary Range $150,000—$180,000 USD. Also note: "The stated pay scale reflects the range that Anders reasonably expects to pay for this position. The actual pay rate for this position will be dependent on a variety of factors, including an applicant’s years of experience, unique skills and abilities, education, alignment with similar internal candidates, marketplace factors, other requirements for the position, and firm business practices." That's substantive; we should include that as well under Pay. Schedule: Not mentioned, so omit. We must not include boilerplate like EEO, legal, etc. The posting includes "All applicants for this position must be authorized to work in the United States now and in the future without requiring sponsorship." That's substantive? It's a requirement about work authorization. Should we keep? It's not boilerplate? It's a requirement. Could be included under Requirements or Qualifications. But the instruction says remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate. Work authorization is not exactly EEO; it's a legal requirement but maybe considered boilerplate? Many job posts include that. It's likely considered boilerplate; but it's a specific requirement. However the instruction says remove EEO/equal-opportunity/scam-warning boilerplate. Work authorization is not EEO. Might keep. But to be safe, we could include it under Requirements as a bullet. However the instruction says "Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate". Work authorization is legal but not necessarily boilerplate; but many consider it standard. I'd keep it as part of Requirements. Also there is a paragraph about Anders history etc. That's boilerplate about company; we should remove. The paragraph: "For 60 years, Anders has delivered full-service accounting..." etc. That's company description; likely boilerplate. Remove. Also "All applicants for this position must be authorized to work in the United States now and in the future without requiring sponsorship." Keep maybe. Also "If you have questions about the data we collect and how it's used, view the Anders Privacy Policy." That's boilerplate; remove. Also social media links etc. Remove. Now craft HTML. We'll need to ensure we don't repeat job title as heading. We'll not. We'll output only HTML fragment. Let's construct:
About the role
The Technology Department of one of the fastest-growing accounting firms in the country is seeking a Senior Microsoft Fabric Architect and Consulting Lead who is motivated to learn, excited to collaborate and passionate about delivering outstanding results. This individual will have a direct impact on our firm’s mission of serving as a catalyst for those striving to achieve their highest potential. The Sr Microsoft Fabric Architect and Consulting Lead is responsible for designing, architecting, and guiding the delivery of enterprise data and analytics solutions primarily leveraging Microsoft Fabric and related MS family of products (Power Platform Copilot, etc.). This role leads clients, data teams, and technology stakeholders in value identification, compelling understanding of enterprise intelligence, and defining scalable, secure, maintainable, and practical data platform solutions. Positioned as a senior technical and consulting role, the Sr. Microsoft Fabric Architect leads client engagements from discovery and solution design through implementation, adoption, and transition. This role serves as a trusted technical advisor to clients while providing architectural direction to Data Engineers, Power BI Develop
- containing the detailed description.
We need to capture all bullet points from "What You’ll Do". Let's extract them:
Client Engagement and Consulting Leadership:
- Serve as the senior technical and consulting lead for Microsoft Fabric client engagements.
- Lead client discovery sessions, architecture workshops, roadmap discussions, and executive briefings.
- Build strong relationships with client executives, business leaders, data teams, and technology stakeholders.
- Translate business goals, operating needs, and technical constraints into clear architecture and delivery recommendations.
- Communicate complex technical concepts in plain language appropriate for both executive and technical audiences.
- Establish engagement expectations, decision processes, working agreements, and communication cadence.
- Manage client concerns, difficult conversations, competing priorities, and changing requirements with professionalism.
- Provide clear recommendations, identify tradeoffs, and help clients make informed decisions.
- Identify follow-on opportunities where additional advisory, data, analytics, automation, or AI services could create client value.
Engagement Management:
- Lead assigned client engagements with accountability for scope, schedule, budget awareness, quality, risks, and outcomes.
- Coordinate delivery plans, milestones, dependencies, and responsibilities across Anders and client teams.
- Monitor engagement progress and proactively communicate status, decisions, risks, issues, and required client actions.
- Partner with project managers and practice leaders on estimates, staffing, utilization, and delivery planning.
- Contribute to proposals, statements of work, assumptions, scope definitions, and change requests.
- Ensure deliverables are complete, understandable, and aligned with client expectations before presentation or release.
- Support adoption, knowledge transfer, and transition planning so clients can operate and extend delivered solutions.
Team and Delivery Leadership:
- Lead and coordinate Data Engineers, Power BI Developers, consultants, and other specialists assigned to an engagement.
- Provide clear direction, delegate effectively, and maintain accountability for team commitments and delivery quality.
- Facilitate team working sessions, architecture reviews, design decisions, and code reviews.
- Coach team members on consulting behaviors, client communication, technical standards, and delivery practices.
- Resolve delivery blockers and escalate issues early when client outcomes, scope, or quality are at risk.
- Create a collaborative environment across Anders, client, and third-party teams.
Architecture and Solution Design:
- Lead the architecture and design of end-to-end Microsoft Fabric solutions.
- Define enterprise data platform strategy centered on OneLake.
- Design Lakehouse, Warehouse, Data Engineering, semantic modeling, and Power BI architectures.
- Establish Medallion Architecture standards across Bronze, Silver, and Gold layers.
- Define Direct Lake, data integration, orchestration, and reusable engineering patterns.
- Create architecture diagrams, data flow maps, decision records, technical standards, and implementation roadmaps.
- Ensure solutions are scalable, maintainable, secure, supportable, and aligned with client business goals.
Platform Governance and Operations:
- Establish security architecture, including workspace design, role-based access control, row-level security, and data access standards.
- Define Microsoft Fabric governance, data ownership, development, deployment, and support frameworks.
- Lead capacity planning, performance management, and workload optimization.
- Implement monitoring, observability, data quality, lineage, and operational practices.
- Oversee continuous integration, continuous delivery, environment promotion, and deployment automation.
Now Requirements/Skills: "What We’re Looking For" bullet list:
- Expert-level knowledge of Microsoft Fabric, including OneLake, Lakehouse, Data Warehouse, Data Engineering, semantic models, Power BI, and Fabric Pipelines.
- Strong experience with SQL, Python, PySpark, and Azure Data Factory or comparable data integration and orchestration technologies.
- Strong understanding of enterprise data architecture, including Medallion Architecture, data modeling, data integration, governance, security, and production data environments.
- Experience designing scalable and secure enterprise data platforms and establishing associated governance and operating models.
- Experience with capacity planning, performance optimization, monitoring, observability, data quality, lineage, and deployment automation.
- Strong understanding of cloud data and analytics technologies, preferably within the Microsoft Azure ecosystem.
- Experience with Azure Databricks, Azure Synapse Analytics, Microsoft Purview, Microsoft AI Foundry, or Azure AI Services is preferred.
- Proven ability to lead technical teams and coordinate work across business, technical, and project stakeholders.
- Demonstrated consulting experience, including client discovery, solution design, executive presentations, and technical advisory responsibilities.
- Experience contributing to project estimates, proposals, statements of work, and delivery planning.
- Excellent written, verbal, presentation, facilitation, and executive communication skills.
- Strong consultative, analytical, and problem-solving skills, with the ability to explain complex technical concepts to technical and non-technical audiences.
- Ability to provide direct recommendations, communicate technical tradeoffs, and guide clients through complex decisions.
- Ability to manage multiple priorities while maintaining strong client relationships and delivery quality.
- High level of professionalism and client-facing confidence.
We could treat this as Skills or Requirements. The instruction: Use headings for Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We have both Qualifications and Skills sections. We'll put "What We’re Looking For" under Skills (or Requirements). And "Your Qualifications" under Qualifications.
Qualifications:
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field (or equivalent professional experience).
- 8+ years of progressive experience designing and delivering enterprise data, analytics, or technology platforms.
- 3+ years of experience working with Microsoft Fabric or an equivalent modern data platform.
- Microsoft Certified: Fabric Analytics Engineer Associate, Fabric Data Engineer Associate, or other relevant Microsoft Fabric certification preferred.
- Additional certifications related to Azure, data engineering, analytics, cloud architecture, or solution architecture are a plus.
Benefits: description: "Why You’ll Love Working Here At Anders, taking care of our employees is a top priority. Our welcoming and collaborative culture will make you feel like a part of the team from day one. From professional development opportunities to benefits that directly impact mental, physical and financial wellness, Anders offers unique incentives that enrich your life and facilitate growth, including our Work Flex program which gives you the opportunity to work at our Chesterfield office, our Downtown St. Louis office, remotely, adopt a hybrid approach or even switch between these options as you prefer. Learn more about our full benefit offerings, Work Flex program, and our Inclusion Network at our careers page: anderscpa.com/careers/working-at-anders/"
We should keep that as a
- but that's okay. Simpler: one