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Life Sciences Data Architect

12 years

0 Lacs

noida uttar pradesh india

Posted:1 day ago| Platform: Linkedin logo

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Skills Required

data interoperability healthcare architecture optimization governance analytics reporting ai ml vault migration teradata oracle sql server tuning etl aws adf databricks sizing clustering pipeline engineering manufacturing azure gcp integration informatica orchestration airflow monitoring collibra security encryption management bioinformatics certifications power tableau

Work Mode

On-site

Job Type

Full Time

Job Description

Role:

Experience:

Location:


Life Sciences Data Architect


Key Responsibilities

  • Architect and implement

    life sciences data platforms

    (data mesh, data lakes, warehousing, streaming/incremental loads).
  • Define

    data modeling strategies

    (star/snowflake/dimensional, data vault, hybrid) for healthcare/payer analytics and AI/ML use cases.
  • Lead

    migration from legacy EDWs

    (Teradata, Oracle, SQL Server) to modern platforms like

    Snowflake, Databricks

    , ensuring performance tuning and validation.
  • Implement

    ETL/ELT patterns

    using tools like Fivetran, Matillion, AWS Glue, ADF, Databricks, DBT; establish CI/CD pipelines for SQL/DBT code.
  • Enforce

    data governance, lineage, access control, and PHI security

    (HIPAA, GDPR, regional compliance).
  • Optimize platform performance (warehouse sizing, clustering keys, caching, materialized views).
  • Define

    observability and alerting frameworks

    for pipeline health, data quality, and SLA monitoring.
  • Mentor and lead data engineering teams, set standards, and deliver stakeholder demos.


Mandatory Skills

  • 12–18 years in

    data engineering/architecture

    , with at least 3+ years architecting modern data platforms (Snowflake, Databricks) in production.
  • Proven experience across

    life sciences value chain

    : R&D, manufacturing, supply chain, commercial, patient safety, sustainability.
  • Strong

    ETL, SQL, performance tuning, and data modeling

    skills; experience with DBT, Snowpipe, streams & tasks preferred.
  • Hands-on with

    cloud platforms

    (AWS/Azure/GCP) and integration tools (Fivetran, Matillion, Informatica, ADF, Glue, Kafka).
  • Familiarity with orchestration (Airflow, ADF), monitoring, data catalog tools (Collibra, Alation), and data quality frameworks.
  • Expertise in

    security, RBAC, encryption, and compliance

    for healthcare data.
  • Excellent stakeholder management and ability to present technical proposals to CxO and clinical leaders.


Desirable Skills

  • Bachelor’s in Computer Science, Information Systems, Bioinformatics; Master’s preferred.
  • Certifications in life sciences data standards or bioinformatics.
  • Experience with BI tools (Power BI, Tableau, Looker).
  • Familiarity with

    ML operationalization

    and MLOps best practices for healthcare analytics.

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