HireHere
Endpoint Clinical

Data Architect

Endpoint Clinical Bengaluru, India Today
engineering
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.

    • Sponsored

    Explore Engineering

    All Engineering Jobs Engineering Salaries Remote Engineering Jobs

    Skills in this job

    Machine Learning Python Devops

    People also search for

    Engineering jobs Endpoint Clinical jobs Asia jobs Machine Learning jobs

    Similar Jobs

    Netskope

    Data Architect

    Netskope

    Engineering
    Egon Zehnder

    Data Architect

    Egon Zehnder

    Engineering
    Alchemer

    Data Architect

    Alchemer

    Engineering
    Suvoda

    Data Architect

    Suvoda

    Engineering
    Suvoda

    Data Architect

    Suvoda

    Engineering

    More jobs at Endpoint Clinical

    Endpoint Clinical

    DevOps Engineer – Azure DevOps Specialist

    Endpoint Clinical

    Engineering
    Endpoint Clinical

    Business Development Intern

    Endpoint Clinical

    Sales Remote
    Endpoint Clinical

    Data Engineer

    Endpoint Clinical

    Data
    Endpoint Clinical

    Automation Test Engineer

    Endpoint Clinical

    Engineering
    Endpoint Clinical

    Software Architect

    Endpoint Clinical

    Engineering
    Report this job
    Sign In to Apply