Sr Databricks Data Engineer
About the role
with paragraph(s) summarizing. Then "Work you'll do As a Data Engineer III on the AI & Data team, you will be responsible for:" then bullet list of duties. Those are responsibilities. Then "A successful candidate would possess these skills:" then list of soft skills. Those could be Skills section. Then "The team:" description maybe part of About the role or could be separate but not needed. Then "Qualifications Required:" list of qualifications. Then "Preferred:" list. Then "The wage range for this role..." That's Pay. Also mention "Recruiting for this role ends on 10/30/2026." That's metadata; we can put in a short p maybe under About the role or separate but not a heading. Also "Ability to travel 50%, on average..." That's maybe part of Qualifications. Also "Limited immigration sponsorship may be available." Could be Benefits? Not exactly benefit but maybe mention. We need Benefits section only if posting actually states them. There's mention of discretionary annual incentive program. That's a benefit. Also maybe "discretionary annual incentive program". So we can include Benefits. Schedule: Not mentioned. No schedule info. So we should not include Schedule. Pay: we have wage range. Thus sections: About the role, Responsibilities, Skills, Qualifications, Pay, Benefits. We need to use for each section heading. Use - for any list of duties/requirements/benefits. Use
for prose.
We must preserve all substantive information, not invent or summarize away detail. Must not repeat job title as heading. Must not put Job ID/requisition numbers as headings (none present). Must remove boilerplate like cookie/navigation/legal/EEO etc. There's none.
We must not create sections with filler like "commensurate with experience". Not present.
We need to include all details: The role description paragraphs, responsibilities bullet list, skills list, qualifications required and preferred, pay range, benefits (discretionary annual incentive program, maybe also mention limited immigration sponsorship? That's not a benefit but could be included under Benefits? Might be better to include under Qualifications? Actually it's about sponsorship, could be considered a note. But we can include as a short p under About the role or maybe under Benefits? The instruction: Benefits section only if posting actually states them. The posting states "You may also be eligible to participate in a discretionary annual incentive program". That's a benefit. Also "Limited immigration sponsorship may be available." That's also a benefit-ish. We'll include both.
We must not invent or summarize away detail. So we need to keep the exact wording? We can paraphrase but must preserve all substantive information. Safer to keep the sentences as is, maybe split into paragraphs.
Let's extract:
About the role:
"Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business and technology leaders to modernize data platforms, enable analytics and artificial intelligence use cases, and drive measurable business outcomes. This role offers the opportunity to deliver enterprise-scale Databricks solutions that improve performance, expand digital capabilities, and help clients scale data-driven decision-making across the enterprise. Recruiting for this role ends on 10/30/2026."
We can keep that as a paragraph.
Responsibilities: list after "Work you'll do As a Data Engineer III on the AI & Data team, you will be responsible for:" then bullet points:
- Champion Best Practices: Establish, document, and promote best-in-class approaches for data architecture, integration, and modelling.
- Pipeline Ownership: Oversee the design, development, and maintenance of robust data pipelines and data architectures that support large-scale, enterprise data needs.
- Drive Excellence: Initiate and manage efforts to improve data quality, operational efficiency, and process scalability.
- Team and Technology Lead: Evaluate, pilot, and integrate new big data and analytics technologies, ensuring the organization remains at the cutting edge. Lead, coach, and develop teams of data engineers and architects, fostering technical growth and effective project delivery.
- Data Governance: Consult on, design, and implement governance, security, and compliance strategies tailored to modern cloud data ecosystems.
- Communication: Communicate technical concepts and business value to diverse stakeholders, including executives, business leads, and technology teams.
- DevOps and Automation: Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline, Jenkins, TFS, or PowerShell for streamlined deployments and operations.
We need to keep each as
- .
Skills: after "A successful candidate would possess these skills:" then list:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
We'll put those as
- .
Qualifications Required: list:
- Bachelor's degree in Computer Science, Engineering, or a related field
- 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
- Experience with Lakehouse architecture, Apache Spark, Delta Lake, cloud-native databases, storage solutions, and distributed compute platforms
- Experience with data warehousing, third normal form (3NF), dimensional modeling, enterprise data lakes, incremental data loads, and metadata-driven ingestion and data quality frameworks using PySpark
- 1+ year leading complex, cross-functional data projects and technical teams, including experience with Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Apache Airflow, Unity Catalog, automated continuous integration and continuous deployment (CI/CD) pipelines, and performance optimization of data engineering pipelines, code, and compute resources
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Master's degree in Computer Science, Engineering, or a related field
- Experience in one or more of AWS, Azure, and GCP cloud ecosystems and associated big data services
- Experience tuning and optimizing performance in Databricks and Apache Spark environments
- Experience with Databricks Lakeflow
- Experience with artificial intelligence and machine learning solutions
We could combine Required and Preferred under Qualifications section, maybe separate subheadings? But we only have
for section headings; we could have a single Qualifications section with two sub-lists labeled Required and Preferred using
or . But we must not invent headings not allowed. Could use Required:
then . That's okay.
Pay: paragraph: "The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $ 229,100 . You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance."
We need to keep the exact numbers: $116,200 to $ 229,100 (note space before $). We'll preserve.
Benefits: we have discretionary annual incentive program and limited immigration sponsorship. Could also mention maybe other benefits not stated. We'll include those two as bullet list.
We must not include Schedule.
Now produce HTML fragment.
Structure:
About the role
Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business and technology leaders to modernize data platforms, enable analytics and artificial intelligence use cases, and drive measurable business outcomes. This role offers the opportunity to deliver enterprise-scale Databricks solutions that improve performance, expand digital capabilities, and help clients scale data-driven decision-making across the enterprise. Recruiting for this role ends on 10/30/2026.
Responsibilities
- Champion Best Practices: Establish, document, and promote best-in-class approaches for data architecture, integration, and modelling.
- Pipeline Ownership: Oversee the design, development, and maintenance of robust data pipelines and data architectures that support large-scale, enterprise data needs.
- Drive Excellence: Initiate and manage efforts to improve data quality, operational efficiency, and process scalability.
- Team and Technology Lead: Evaluate, pilot, and integrate new big data and analytics technologies, ensuring the organization remains at the cutting edge. Lead, coach, and develop teams of data engineers and architects, fostering technical growth and effective project delivery.
- Data Governance: Consult on, design, and implement governance, security, and compliance strategies tailored to modern cloud data ecosystems.
- Communication: Communicate technical concepts and business value to diverse stakeholders, including executives, business leads, and technology teams.
- DevOps and Automation: Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline, Jenkins, TFS, or PowerShell for streamlined deployments and operations.
Skills
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
Qualifications
Required:
- Bachelor's degree in Computer Science, Engineering, or a related field
- 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
- Experience with Lakehouse architecture, Apache Spark, Delta Lake, cloud-native databases, storage solutions, and distributed compute platforms
- Experience with data warehousing, third normal form (3NF), dimensional modeling, enterprise data lakes, incremental data loads, and metadata-driven ingestion and data quality frameworks using PySpark
- 1+ year leading complex, cross-functional data projects and technical teams, including experience with Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Apache Airflow, Unity Catalog, automated continuous integration and continuous deployment
for prose. We must preserve all substantive information, not invent or summarize away detail. Must not repeat job title as heading. Must not put Job ID/requisition numbers as headings (none present). Must remove boilerplate like cookie/navigation/legal/EEO etc. There's none. We must not create sections with filler like "commensurate with experience". Not present. We need to include all details: The role description paragraphs, responsibilities bullet list, skills list, qualifications required and preferred, pay range, benefits (discretionary annual incentive program, maybe also mention limited immigration sponsorship? That's not a benefit but could be included under Benefits? Might be better to include under Qualifications? Actually it's about sponsorship, could be considered a note. But we can include as a short p under About the role or maybe under Benefits? The instruction: Benefits section only if posting actually states them. The posting states "You may also be eligible to participate in a discretionary annual incentive program". That's a benefit. Also "Limited immigration sponsorship may be available." That's also a benefit-ish. We'll include both. We must not invent or summarize away detail. So we need to keep the exact wording? We can paraphrase but must preserve all substantive information. Safer to keep the sentences as is, maybe split into paragraphs. Let's extract: About the role: "Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business and technology leaders to modernize data platforms, enable analytics and artificial intelligence use cases, and drive measurable business outcomes. This role offers the opportunity to deliver enterprise-scale Databricks solutions that improve performance, expand digital capabilities, and help clients scale data-driven decision-making across the enterprise. Recruiting for this role ends on 10/30/2026." We can keep that as a paragraph. Responsibilities: list after "Work you'll do As a Data Engineer III on the AI & Data team, you will be responsible for:" then bullet points: - Champion Best Practices: Establish, document, and promote best-in-class approaches for data architecture, integration, and modelling. - Pipeline Ownership: Oversee the design, development, and maintenance of robust data pipelines and data architectures that support large-scale, enterprise data needs. - Drive Excellence: Initiate and manage efforts to improve data quality, operational efficiency, and process scalability. - Team and Technology Lead: Evaluate, pilot, and integrate new big data and analytics technologies, ensuring the organization remains at the cutting edge. Lead, coach, and develop teams of data engineers and architects, fostering technical growth and effective project delivery. - Data Governance: Consult on, design, and implement governance, security, and compliance strategies tailored to modern cloud data ecosystems. - Communication: Communicate technical concepts and business value to diverse stakeholders, including executives, business leads, and technology teams. - DevOps and Automation: Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline, Jenkins, TFS, or PowerShell for streamlined deployments and operations. We need to keep each as
for section headings; we could have a single Qualifications section with two sub-lists labeled Required and Preferred using
or . But we must not invent headings not allowed. Could use Required: Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business and technology leaders to modernize data platforms, enable analytics and artificial intelligence use cases, and drive measurable business outcomes. This role offers the opportunity to deliver enterprise-scale Databricks solutions that improve performance, expand digital capabilities, and help clients scale data-driven decision-making across the enterprise. Recruiting for this role ends on 10/30/2026. Required:. That's okay.
Pay: paragraph: "The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $ 229,100 . You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance."
We need to keep the exact numbers: $116,200 to $ 229,100 (note space before $). We'll preserve.
Benefits: we have discretionary annual incentive program and limited immigration sponsorship. Could also mention maybe other benefits not stated. We'll include those two as bullet list.
We must not include Schedule.
Now produce HTML fragment.
Structure:
About the role
Responsibilities
Skills
Qualifications