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The Data Architect role at Endpointclinical is an on-site position located in Bengaluru, India.

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Data Architect

EndpointclinicalBengaluru, India2d ago

PythonScalaAzureSQLSparkSnowflakedbt

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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