Senior Data Engineer

<h2><b>Career Category</b></h2>Engineering<h2></h2><h2><b>Job Description</b></h2><h1>Position Overview</h1><p>The GCF5 Senior Data Engineer is the senior technical leader for the Enterprise Data Foundation (EDF) / Common Data Model pillar. They define and socialize canonical data standards, contracts, and patterns; lead multi-team delivery; mentor GCF4 engineers; and translate scientific needs into scalable data platform designs. They own pillar-level adoption, reliability, and Service Level Agreement (SLA) / Service Level Objective (SLO) outcomes, and influence cross-team engineering quality.</p><p></p><p>This role reports to the GCF7 leader and partners closely with peer GCF5 domain leads across SCIP to ensure cohesive, scalable platform evolution.</p><h1>Core Responsibilities</h1><ul><li>Own the technical roadmap and delivery of the Enterprise Data Foundation capability within SCIP.</li><li>Define and govern canonical data models, schema standards, and contract-first integration patterns.</li><li>Establish and enforce data contracts to ensure reliable, versioned integrations.</li><li>Design and implement scalable ingestion, transformation, and validation pipelines aligned to platform standards.</li><li>Define and operationalize data lineage and metadata practices.</li><li>Establish automated data quality and conformance validation frameworks.</li><li>Lead architecture reviews for data domain changes and migrations.</li><li>Mentor engineers and elevate data engineering standards.</li><li>Partner with scientific and analytics stakeholders to translate research workflows into durable data products.</li></ul><h1>Core Competencies</h1><ul><li>Deep expertise in the assigned pillar (Enterprise Data Foundation (EDF) / Common Data Model (CDM) ) with evidence of standard‑setting and reuse.</li><li>Systems design at scale (enterprise data platforms); performance, security, and observability fundamentals.</li><li>Product/engineering thinking: road mapping, prioritization, and outcome‑oriented delivery.</li><li>Stakeholder influence across science, engineering, and governance forums; crisp written/verbal communication.</li></ul><h1>Core Success Measures</h1><ul><li>Adoption of canonical data models across applicable systems.</li><li>Data contract compliance rate and reduction in schema-breaking changes.</li><li>Lineage completeness and auditability of governed datasets.</li><li>Reduction in downstream data defects.</li><li>Time-to-onboard new data domains into standardized patterns.</li><li>Measurable improvements in data reliability and reuse.</li></ul><h1>Key Relationships</h1><ul><li>Collaborates with GCF6 Group Lead and cross‑functional leaders (R&amp;D/PD/Dev).</li><li>Mentors and develops GCF4 Data and Software Engineers, partners with platform, data, ML, and research teams.</li><li>Interfaces with governance (architecture, security, compliance) and vendor/partner teams.</li></ul><h1>Decision Authority</h1><ul><li>Approve designs within the pillar; define and waive standards/patterns with rationale.</li><li>Recommend buy‑vs‑build; commit pillar resources to meet SLAs/SLOs; escalate risks.</li><li>Prioritize pillar backlog and roadmap in alignment with strategy and OKRs.</li></ul><h1>Qualifications</h1><p>Basic Qualifications:</p><ul><li>BS&#43;8 / MS&#43;6 / PhD in CS/Engineering/Data disciplines.</li><li>Demonstrated production delivery experience in enterprise data platforms at scale.</li><li>Demonstrated literacy in a relevant scientific domain (e.g., biology, chemistry, therapeutic discovery).</li><li>Preferred Qualifications:</li><li>Depth in the assigned pillar (Enterprise Data Foundation (EDF) / Common Data Model) (EDF/CDM).</li><li>Kubernetes and continuous integration/continuous delivery (CI/CD) at scale; observability, performance tuning, and security-by-design.</li><li>Evidence of standard‑setting and cross‑team influence; mentoring experience.</li></ul><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p>.