Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Reads like a Data Leadership role: running a data team.
Lawrence Township, New Jersey, United States
Live, first seen by us 28 days agoThe Company’s Commercialization Business Insights & Technology (CBI&T) Dat and AI (D&A) New Build team is responsible for executing on prioritized work leveraging Databricks as its data foundation platform.
Seeking US Data Lead to manage delivery of these data assets and data products end to end.
Translate business requirements into data product designs and technical execution
Produce source-to-target mappings and Bronze, Silver, Gold logical data models
Build data pipelines on Databricks using PySpark, Spark SQL, and Delta Lake
Run day-to-day offshore pod work, including code review and task assignment
Review systems integrator and vendor work against statement-of-work scope
The Company’s Commercialization Business Insights & Technology (CBI&T) Dat and AI (D&A) New Build team is responsible for executing on prioritized work leveraging Databricks as its data foundation platform.
Seeking US Data Lead to manage delivery of these data assets and data products end to end. This position is the technical point of contact for this work, translating business requirements from our Commercialization AI Strategy & Analytics (CASA) business partners into designed, built, tested, and released data products on Databricks.
translating business requirements from our Commercialization AI Strategy & Analytics (CASA) business partners into designed, built, tested, and released data products on Databricks
Produce core design artifacts: source-to-target mappings, analytical requirement documents, Bronze, Silver Gold-layer logical data models.
Hands on understanding of of Databricks tools, (PySpark, Spark SQL, Delta Lake, etc.)
Day-to-day work of an offshore engineering pod in Hyderabad, India — backlog grooming, task assignment, design review, and code review.
Review vendor work products against statement-of-work scope and flag gaps early.
6–10+ years in data engineering
Strong data product and data modeling skills. Proven experience defining and delivering data products with business stakeholders, not just executing handed-down specifications.
Experience with Unity Catalog: catalogs and schemas, access control, and data classification.
Experience leading distributed and offshore teams, with demonstrated ability to get quality output from an India-based delivery pod.
Understanding of commercial analytics use cases: field force performance, customer, patient journey and line of therapy
Familiarity with data governance concepts: data ownership, stewardship, critical data elements, and data quality frameworks.
Experience in a regulated environment with audit, privacy, and access-control requirements
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Day 28
Similar jobs usually come down between day 7 and day 53.
From 7,804 similar postings that came down. Coming down is not always a hire.
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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• Experience leading distributed and offshore teams, with demonstrated ability to get quality output from an India-based delivery pod. • Advanced SQL, Python, and a Git-based development workflow. • Excellent written and verbal communication; able work independently with business stakeholders
Technical build and data modeling • Hands on understanding of of Databricks tools, (PySpark, Spark SQL, Delta Lake, etc.) • Apply platform standards for Unity Catalog cataloging, table design and clustering, performance tuning, data quality controls, and CI/CD through Git.
• Strong data product and data modeling skills. Proven experience defining and delivering data products with business stakeholders, not just executing handed-down specifications. • Demonstrated hands-on Databricks experience: PySpark, Spark SQL, Delta Lake, and experience with medallion architecture (Bronze/Raw, Silver/Refined, Gold/Published) including what logic belongs in which layer and why. • Experience with Unity Catalog: catalogs and schemas, access control, and data classification.
ROLE SUMMARY The Company’s Commercialization Business Insights & Technology (CBI&T) Dat and AI (D&A) New Build team is responsible for executing on prioritized work leveraging Databricks as its data foundation platform. Seeking US Data Lead to manage delivery of these data assets and data products end to end. This position is the technical point of contact for this work, translating business requirements from our Commercialization AI Strategy & Analytics (CASA) business partners into designed, built, tested, and released data products on Databricks.
The Company’s Commercialization Business Insights & Technology (CBI&T) Dat and AI (D&A) New Build team is responsible for executing on prioritized work leveraging Databricks as its data foundation platform. Seeking US Data Lead to manage delivery of these data assets and data products end to end. This position is the technical point of contact for this work, translating business requirements from our Commercialization AI Strategy & Analytics (CASA) business partners into designed, built, tested, and released data products on Databricks. Work with US data team members, other commercialization BI&T stakeholders, company offshore engineers and systems integrator resources.
Work with US data team members, other commercialization BI&T stakeholders, company offshore engineers and systems integrator resources. MUST HAVE DATABRICKS EXP, DATA MODELING EXP, AND DATA PRODUCTS EXP. KEY RESPONSIBILITIES
• 6–10+ years in data engineering • Databricks experience • Strong data product and data modeling skills. Proven experience defining and delivering data products with business stakeholders, not just executing handed-down specifications.
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Yes. We’ve followed one other Data Engineer job there since October 2026. It is still up.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.
ROLE SUMMARY
The Company’s Commercialization Business Insights & Technology (CBI&T) Dat and AI (D&A) New Build team is responsible for executing on prioritized work leveraging Databricks as its data foundation platform.
Seeking US Data Lead to manage delivery of these data assets and data products end to end. This position is the technical point of contact for this work, translating business requirements from our Commercialization AI Strategy & Analytics (CASA) business partners into designed, built, tested, and released data products on Databricks.
Work with US data team members, other commercialization BI&T stakeholders, company offshore engineers and systems integrator resources.
MUST HAVE DATABRICKS EXP, DATA MODELING EXP, AND DATA PRODUCTS EXP.
KEY RESPONSIBILITIES
Data delivery
• Lead design, build, UAT, releases
• Partner with CASA data owners, domain leads, and business SMEs to translate data product scope: critical data elements, business rules, metric definitions, grain, aggregation logic, and acceptance criteria into technical design and execution.
• Produce core design artifacts: source-to-target mappings, analytical requirement documents, Bronze, Silver Gold-layer logical data models.
Technical build and data modeling
• Hands on understanding of of Databricks tools, (PySpark, Spark SQL, Delta Lake, etc.)
• Apply platform standards for Unity Catalog cataloging, table design and clustering, performance tuning, data quality controls, and CI/CD through Git.
• Data Product data modeling
Offshore/Vendor Engagement
• Day-to-day work of an offshore engineering pod in Hyderabad, India — backlog grooming, task assignment, design review, and code review.
• Provide technical direction to systems integrator and consulting partners working on the same domains, and hold their deliverables to company standards.
• Review vendor work products against statement-of-work scope and flag gaps early.
REQUIRED QUALIFICATIONS
• 6–10+ years in data engineering
• Databricks experience
• Strong data product and data modeling skills. Proven experience defining and delivering data products with business stakeholders, not just executing handed-down specifications.
• Demonstrated hands-on Databricks experience: PySpark, Spark SQL, Delta Lake, and experience with medallion architecture (Bronze/Raw, Silver/Refined, Gold/Published) including what logic belongs in which layer and why.
• Experience with Unity Catalog: catalogs and schemas, access control, and data classification.
• Experience leading distributed and offshore teams, with demonstrated ability to get quality output from an India-based delivery pod.
• Advanced SQL, Python, and a Git-based development workflow.
• Excellent written and verbal communication; able work independently with business stakeholders
• Self-directed. This team needs people who can take an ambiguous business ask and drive it to released data products
PREFERRED QUALIFICATIONS
• Pharmaceutical or life sciences commercial data experience, and familiarity with industry data sources such as IQVIA, Symphony Health, Komodo, Flatiron, specialty pharmacy and distributor data, Veeva CRM, and marketing or digital engagement platforms.
• Understanding of commercial analytics use cases: field force performance, customer, patient journey and line of therapy
• Familiarity with data governance concepts: data ownership, stewardship, critical data elements, and data quality frameworks.
• Experience in a regulated environment with audit, privacy, and access-control requirements
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
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Lawrence Township, New Jersey, United States
Working pattern and location restrictions need checking in the full posting.
• Experience in a regulated environment with audit, privacy, and access-control requirements Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy