Data Architect

Endpointclinical

Bengaluru, India Hybrid permanent

Posted: January 14, 2026

Required Skills

Job Description

We are seeking a Data Solutions Architect with 15+ 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:
• 15+ 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:
• Bachelor’s/Master’s 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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