Senior Tech Lead - Clinical Data Engineering/ Data Platforms in Alameda

We are seeking a Senior Technical Leader to provide hands-on technical leadership for clinical data engineering, data platform development, and analytics delivery. This role will lead the design and execution of scalable data pipelines, Lakehouse architecture, cloud services integration, and delivery governance across active clinical data initiatives., * ryOwn architecture and implementation across Databricks Lakehouse, Delta Lake, Unity Catalog, Medallion architecture, and SQL Warehous

• esLead end-to-end delivery of data pipelines, curated datasets, data products, and analytics-ready data asse
• tsManage and guide a team of 5-10+ data engineers across onsite and offshore delive
• ryProvide technical direction on pipeline design, data modeling, performance optimization, security, scalability, and production readine
• ssWork with AWS services such as S3, EMR/Athena, Secrets Manager, IAM, and related cloud platform componen
• tsDrive sprint planning, backlog management, technical design reviews, code reviews, release planning, and delivery governan
• cePartner with Clinical Operations, Biostatistics, Data Management, IT, data managers, and business stakeholders to translate requirements into technical solutio
• nsCoordinate cross-functional delivery across data engineering, analytics, AI/ML, platform, QA, and business tea
• msEnsure engineering outputs meet quality, security, compliance, performance, and maintainability expectatio
• nsSupport issue resolution across data ingestion, transformation, pipeline failures, data quality defects, and platform dependenci
• esProvide technical oversight for automation, AI/ML-enabled workflows, and human-in-the-loop data operations where applicab, llsDatabricks, Delta Lake, Unity Catalog, Medallion Architecture, SQL Warehouses, AWS S3, EMR, Athena, Secrets Manager, IAM, Data Engineering, Data Architecture, Pipeline Development, Data Modeling, Agile Delivery, Sprint Management, Technical Leadership, Clinical Data Platforms, Stakeholder Management, Offshore Team Leadership, Production Suppo

eThe ideal candidate will have strong experience with Databricks Lakehouse, Delta Lake, Unity Catalog, Medallion architecture, SQL Warehouses, AWS services, data engineering delivery, agile execution, and stakeholder management in a life sciences or regulated data environmen, ons* 12+ years of experience in data engineering, data architecture, analytics engineering, or cloud data platform delive

ry.* Strong hands-on experience with Databricks Lakehouse, includi

ng:o Delta L

akeo Unity Cata

logo Medallion architect

ureo SQL Warehou

seso Notebook/job orchestrat

iono Data pipeline performance tun

ing* Working knowledge of AWS services including S3, EMR/Athena, Secrets Manager, IAM, and cloud- security patter

ns.* Proven experience leading 5-10+ data engineers and owning end-to-end technical delive

ry.* Strong understanding of data pipeline design, batch processing, data transformation, data modeling, and analytics enableme

nt.* Experience with agile delivery, sprint ceremonies, backlog management, release management, and technical execution governan

ce.* Ability to work in cross-functional delivery models involving technical teams, business users, data managers, and client stakeholde

rs.* Strong stakeholder management and client-facing communication skil

ls.* Ability to translate business and clinical data requirements into scalable technical architecture and implementation pla

ns._____________________________________

___Preferred Qualificati

ons* Experience in pharma, biotech, CRO, clinical operations, or life sciences data environmen

ts.* Familiarity with clinical data domains, study data, lab data, safety data, EDC data, or biostatistics workflo

ws.* Experience working with AI/ML, automation, or metadata-driven data pipelin

es.* Knowledge of data governance, data quality, lineage, auditability, and regulated data contro

ls.* Experience with CI/CD, Git-based development, DevOps practices, and production support mode

ls.* Experience managing distributed onsite/offshore delivery tea