Sr Databricks Data Engineer

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We need to parse the posting. Posting includes: - Intro paragraph: "Join Deloitte's AI & Engineering practice..." etc. That's about the role. - "Recruiting for this role ends on 10/30/2026." That's metadata; can be folded into short p. - "Work you'll do As a Data Engineer III on the AI & Data team, you will be responsible for:" then bullet list of duties. - "A successful candidate would possess these skills:" then list of soft skills. - "The team:" description. - "Qualifications Required:" list. - "Preferred:" list. - "Ability to travel 50%..." etc. - "Limited immigration sponsorship may be available." - Pay: "A reasonable estimate of the current range is $116,200 to $ 229,100 ." Also mention discretionary annual incentive program. - Benefits: Not explicitly mentioned besides maybe incentive program? There's mention of discretionary annual incentive program. Could be considered benefit. Also maybe immigration sponsorship? Not typical benefit. We'll include Benefits section if there is specific content: discretionary annual incentive program. Also maybe "Limited immigration sponsorship may be available." That's not a benefit but could be included. We'll include Benefits with that. - Schedule: Not mentioned. No schedule info. So we omit Schedule. - Also we need sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay. We must not repeat job title as heading. Use

for each section heading. We need to use

• for any list of duties/requirements/benefits, and

  for prose. We must preserve all substantive information; do not invent or summarize away detail. Remove boilerplate: cookie/navigation/legal/EEO etc. Not present. We need to include all details: intro paragraph, recruiting end date, work you'll do bullet list, successful candidate skills bullet list, team description, qualifications required bullet list, preferred bullet list, travel and immigration sponsorship, pay range and incentive program. We need to decide where each piece goes. About the role: introductory paragraph(s) describing role and purpose. Could include first paragraph and maybe "Recruiting for this role ends on 10/30/2026." as a short p. Responsibilities: the bullet list under "Work you'll do As a Data Engineer III...". Requirements: maybe the "Qualifications Required:" list? Actually Qualifications is separate. Requirements could be the "Ability to travel 50%, ..." and "Limited immigration sponsorship may be available." But those are more like requirements? However we have a Qualifications section for education/experience. We'll follow typical: Responsibilities, Requirements (maybe hard requirements like travel, sponsorship), Qualifications (education/experience), Skills (soft skills), Benefits, Pay. But we need to avoid thin sections. Let's see content: - Responsibilities: bullet list of duties (Champion Best Practices, Pipeline Ownership, Drive Excellence, Team and Technology Lead, Data Governance, Communication, DevOps and Automation). That's substantive. - Requirements: travel 50%, limited immigration sponsorship maybe. That's thin but still specific. Could combine with Qualifications? But Qualifications already has education/experience etc. Travel is not qualification but requirement. We'll keep Requirements section with those two items. - Qualifications: Required list (Bachelor's degree, 5+ years experience, experience with Lakehouse, Spark, etc., experience with data warehousing, etc., 1+ year leading projects, ability to travel 50%? Actually travel already in Requirements; but qualifications includes ability to travel 50%? It's listed under Qualifications Required? Actually after the list: "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." That's after qualifications? In the posting, it's after the qualifications list? Let's re-check: The text: "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 (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" Thus travel and immigration sponsorship are part of Qualifications Required (maybe as a requirement). We'll keep them under Qualifications Required. Thus we may not need a separate Requirements section; we can incorporate travel and sponsorship into Qualifications. But we still have "Preferred" list. We have Skills: "A successful candidate would possess these skills:" list of soft skills. We have Benefits: discretionary annual incentive program. We have Pay: wage range. We have About the role: intro paragraphs. We have Team description: maybe could be part of About the role or separate? Could be a section "About the team". But we only have allowed headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. No "About the team". So we should incorporate team description into About the role or maybe Responsibilities? Probably About the role can include both intro and team description. Thus sections: - About the role: combine first paragraph(s) and team description. - Responsibilities: bullet list of duties. - Qualifications: Required and Preferred lists (maybe split into Required and Preferred subheadings? But we only allowed Qualifications heading; we can include both required and preferred under that heading, maybe using

  to label. - Skills: bullet list of soft skills. - Benefits: bullet list (discretionary annual incentive program, maybe also immigration sponsorship? but we already used that). We'll just include incentive program. - Pay: paragraph with range and note about incentive program? Actually incentive program already in Benefits; we can mention that pay range is base salary, plus eligibility for discretionary annual incentive. We must not repeat content. Ensure we preserve all details. Let's extract exact text. Intro: "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 end: "Recruiting for this role ends on 10/30/2026." Team description: "The team: Deloitte's Core AI & Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities across the business. The team works with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, enable innovation, and support large-scale transformation. Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery." Responsibilities bullet list: - 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 bullet list (A successful candidate would possess these 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 list (as above). Let's copy exactly: - 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 list: - 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 Benefits: "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." Pay: "A reasonable estimate of the current range is $116,200 to $ 229,100 ." Also note about geographic differential not adjusted, typical not hired at top, etc. We need to preserve all substantive information. So include that sentence plus the notes about geographic differential, not typical hired at top, compensation decisions dependent on facts. Let's capture: "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