Senior Tech Lead - Clinical Data Engineering/ Data Platforms

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.

About the Ro

leThe 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

t.
Responsibilit

• iesServe as the technical lead for clinical data engineering and platform delive
• ry.Own architecture and implementation across Databricks Lakehouse, Delta Lake, Unity Catalog, Medallion architecture, and SQL Warehous
• es.Lead end-to-end delivery of data pipelines, curated datasets, data products, and analytics-ready data asse
• ts.Manage and guide a team of 5–10 data engineers across onsite and offshore delive
• ry.Provide technical direction on pipeline design, data modeling, performance optimization, security, scalability, and production readine
• ss.Work with AWS services such as S3, EMR/Athena, Secrets Manager, IAM, and related cloud platform componen
• ts.Drive sprint planning, backlog management, technical design reviews, code reviews, release planning, and delivery governan
• ce.Partner with Clinical Operations, Biostatistics, Data Management, IT, data managers, and business stakeholders to translate requirements into technical solutio
• ns.Coordinate cross-functional delivery across data engineering, analytics, AI/ML, platform, QA, and business tea
• ms.Ensure engineering outputs meet quality, security, compliance, performance, and maintainability expectatio
• ns.Support issue resolution across data ingestion, transformation, pipeline failures, data quality defects, and platform dependenci
• es.Provide technical oversight for automation, AI/ML-enabled workflows, and human-in-the-loop data operations where applicab

le.
Qualificat

• ions12 years of experience in data engineering, data architecture, analytics engineering, or cloud data platform deliv

ery.
Required S

• killsStrong hands-on experience with Databricks Lakehouse, inclu
• ding:Delta
• LakeUnity Ca
• talogMedallion archite
• ctureSQL Wareh
• ousesNotebook/job orchestr
• ationData pipeline performance t
• uningWorking knowledge of AWS services including S3, EMR/Athena, Secrets Manager, IAM, and cloud-native security patt
• erns.Proven experience leading 5–10 data engineers and owning end-to-end technical deli
• very.Strong understanding of data pipeline design, batch processing, data transformation, data modeling, and analytics enable
• ment.Experience with agile delivery, sprint ceremonies, backlog management, release management, and technical execution govern
• ance.Ability to work in cross-functional delivery models involving technical teams, business users, data managers, and client stakehol
• ders.Strong stakeholder management and client-facing communication sk
• ills.Ability to translate business and clinical data requirements into scalable technical architecture and implementation p

lans.
Preferred

• SkillsExperience in pharma, biotech, CRO, clinical operations, or life sciences data environ
• ments.Familiarity with clinical data domains, study data, lab data, safety data, EDC data, or biostatistics work
• flows.Experience working with AI/ML, automation, or metadata-driven data pipe
• lines.Knowledge of data governance, data quality, lineage, auditability, and regulated data con
• trols.Experience with CI/CD, Git-based development, DevOps practices, and production support m
• odels.Experience managing distributed onsite/offshore delivery