FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data architecture and analytics engineering, with a strong focus on SQL, Python, and cloud data warehousing, particularly Snowflake. Proven ability to design and enforce data contracts and manage complex data models in regulated industries.
Highest-signal resume keywords
Data ArchitectureSQL ProficiencyPython ProgrammingCloud Data WarehousingData Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ArchitectureSQLPythonCloud Data WarehousingData ContractsData ModelsCI/CDData TransformationData PipelinesData Quality Testing
Soft Skills
Excellent CommunicationPresentation Skills
Tools & Technologies
SnowflakeCollibraData Catalog ToolsData Lineage Tools
Industry Keywords
PharmaceuticalLife SciencesRegulated IndustriesBiotechMedical Devices
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Own the architecture of Pfizer’s governed commercial analytics data and semantic data layer
- Ensure consistency, scalability, and flexibility across brands and therapeutic areas
- Drive central-versus-federated architecture decisions and define standards and data contracts
- Set technology-stack direction for storage, compute, transformation, orchestration, CI/CD, catalog, lineage, semantic tooling, and infrastructure
- Serve as approval authority for data pipelines and products delivered by external partners and internal brand teams
- Write reference implementations, review code, and prototype new capabilities
- Own the commercial analytics data model, including standardized domains, conformed dimensions, governed identity spines, and layered data products
- Establish and oversee the federated development model and promotion criteria for shared domains
- Publish and maintain standards, definitions of done, architecture decision logs, and reference documentation
- Implement data contracts, automated data-quality and contract testing, and a consolidated metric registry
- Protect consistent certified business definitions across BI, forecasting, and AI-agent consumption
- Partner with enterprise platform teams on technical requirements
- Own sandbox-to-production promotion architecture, service-account and access patterns, and observability standards
- Shape brand onboarding and legacy-data-asset decommissioning strategies
- Design the transition from partner-led builds to internally sustained operations
- Translate architecture decisions for commercial analytics leaders, brand teams, and executive sponsors
- Deliver recommendations on build-versus-buy, central-versus-federated, and adopt-versus-retire decisions
Requirements
What you’ll need- 8+ years in data architecture, data engineering, or analytics engineering with substantial hands-on technical delivery, with a BA/BS; 7+ years with an MS/MBA; or 5+ years with a PhD
- High proficiency in SQL and Python and regular coding in production contexts
- Comfortable reviewing and correcting code
- Deep experience with modern cloud data warehouses, preferably Snowflake, transformation frameworks, orchestration, and CI/CD for data pipelines
- Experience designing and enforcing data contracts, conformed data models, and/or metric and semantic layers consumed by multiple teams
- Experience serving as design authority over vendor or partner implementation in a large enterprise
- Experience with commercial pharmaceutical or life sciences data and associated business definitions
- Excellent written and verbal communication, including presenting architecture recommendations to senior business leaders
- Experience working in regulated industries such as pharmaceutical, biotech, medical devices, or financial services
- Experience with data catalog and lineage tooling, such as Collibra or equivalent, and governance workflows for metric certification
- Practical experience preparing governed data and semantics for LLM or agent-based consumption, including grounding, retrieval, and drift detection
- Track record of building reference implementations, templates, and runbooks adopted across an organization
- Experience with federated or data mesh operating models
- Candidates must be authorized to be employed in the U.S. by any employer
- Permanent work authorization in the United States required
- U.S. work visa sponsorship is not available now or in the future
Benefits
Comp & perks- Global Performance Plan bonus target of 20.0% of base salary
- Share-based long-term incentive program eligibility
- 401(k) plan with Pfizer Matching Contributions
- Additional Pfizer Retirement Savings Contribution
- Paid vacation, holiday, and personal days
- Paid caregiver/parental and medical leave
- Medical, prescription drug, dental, and vision coverage
- Relocation assistance may be available based on business needs and/or eligibility
