Endpoint Clinical - Data Solution Architect
Posted on: 11/03/2026
Job Description
Description :
We are seeking a Data Solutions Architect with 13+ years of experience in designing enterprise-scale data platforms. This role focuses on building Azure + Databricks Lakehouse solutions for clinical trial and life sciences data, enabling advanced analytics, machine learning workflows, and regulatory compliance.
Responsibilities :
- Architect Lakehouse solutions leveraging Azure Data Lake (ADLS Gen2), Databricks, and Delta Lake.
- Design data models (star, snowflake, data vault), ingestion pipelines, and CDC strategies with schema evolution and performance tuning.
- Implement data governance, security, and compliance aligned with GxP, HIPAA, and 21 CFR Part 11.
- Enable data science and ML workflows using MLflow, Feature Store, and curated datasets.
- Collaborate with clinical operations and biometrics teams to deliver business-aligned solutions.
Experience :
- 13+ years in data architecture/engineering 5+ years with Azure; 3+ years with Databricks.
- Azure Expertise : ADLS Gen2, Data Factory/Fabric pipelines, Synapse/SQL, Event Hubs, Functions, Key Vault, Private Endpoints, VNets.
- Databricks Expertise : Spark (PySpark/SQL), Unity Catalog, Delta Live Tables (DLT), Workflows, MLflow, Feature Store.
- Data Modeling : Star/snowflake, data vault, CDC, schema evolution, performance tuning.
- Programming : PySpark, SQL; bonus: Python (pandas), Scala, dbt.
- Governance & Security : IAM/RBAC/ABAC, row/column-level security, encryption, masking/tokenization, secrets, audit.
- Observability & Reliability : Monitoring, lineage, alerting, CI/CD (GitHub Actions/Azure DevOps), automated testing/validation.
Skills :
- Clinical trial data standards (CDISC: CDASH, SDTM, ADaM) and systems (EDC, CTMS, IRT).
- Familiarity with decentralized trials, real-world data (RWD/RWE), and regulatory compliance frameworks.
- Strong stakeholder management and communication skills.
- Ability to translate complex technical concepts into business value.
- Leadership in cross-functional teams and mentoring engineers.
Education :
- Bachelors/Masters in Computer Science, Data Engineering, or related field.
- Certifications: Azure Data Engineer (DP-203), Databricks Architect, Azure Solutions Architect (AZ-305), GxP/CSV.
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Posted by
Kingslin Raju
Talent Acquisition Specialist at ENDPOINT ECLINICAL INDIA PRIVATE LIMITED
Last Active: 11 Mar 2026
86
Posted in
Data Engineering
Functional Area
Technical / Solution Architect
Job Code
1619576
