Tech Lead -Databricks, SQL

Role: Tech Lead -Databricks, SQL

Location : Onsite, Alameda, CA (Near Oakland Airport)

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

.The 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 environment

.
Key Responsibiliti

• esServe as the technical lead for clinical data engineering and platform deliver
• y.Own architecture and implementation across Databricks Lakehouse, Delta Lake, Unity Catalog, Medallion architecture, and SQL Warehouse
• s.Lead end-to-end delivery of data pipelines, curated datasets, data products, and analytics-ready data asset
• s.Manage and guide a team of 5–10 data engineers across onsite and offshore deliver
• y.Provide technical direction on pipeline design, data modeling, performance optimization, security, scalability, and production readines
• s.Work with AWS services such as S3, EMR/Athena, Secrets Manager, IAM, and related cloud platform component
• s.Drive sprint planning, backlog management, technical design reviews, code reviews, release planning, and delivery governanc
• e.Partner with Clinical Operations, Biostatistics, Data Management, IT, data managers, and business stakeholders to translate requirements into technical solution
• s.Coordinate cross-functional delivery across data engineering, analytics, AI/ML, platform, QA, and business team
• s.Ensure engineering outputs meet quality, security, compliance, performance, and maintainability expectation
• s.Support issue resolution across data ingestion, transformation, pipeline failures, data quality defects, and platform dependencie
• s.Provide technical oversight for automation, AI/ML-enabled workflows, and human-in-the-loop data operations where applicabl

e.
Required Qualificati

• ons12 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:Delta L
• akeUnity Cata
• logMedallion architect
• ureSQL Warehou
• sesNotebook/job orchestrat
• ionData pipeline performance tun
• ingWorking knowledge of AWS services including S3, EMR/Athena, Secrets Manager, IAM, and cloud-native 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 Qualificat

• ionsExperience in pharma, biotech, CRO, clinical operations, or life sciences data environme
• nts.Familiarity with clinical data domains, study data, lab data, safety data, EDC data, or biostatistics workfl
• ows.Experience working with AI/ML, automation, or metadata-driven data pipeli
• nes.Knowledge of data governance, data quality, lineage, auditability, and regulated data contr
• ols.Experience with CI/CD, Git-based development, DevOps practices, and production support mod
• els.Experience managing distributed onsite/offshore delivery te

ams.
Key S

killsDatabricks, 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 Sup