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From the employer's careers site First seen 12 Nov 2026

Data Architect

GSK Bengaluru senior full-time

The employer hasn't listed a salary.

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Description

We are seeking a Data Architect to join our team in Bengaluru, Luxor North Tower.

Job Summary: As a Data Architect, you will play a critical role in designing and implementing enterprise-scale data lake/lakehouse architectures on Azure or other cloud data platforms. You will oversee data ingestion end-to-end and the target canonical/conformed data model connecting engagement data to GSK Medical data.

Key Responsibilities:

  • Set success metrics up front, prove value through proofs of value (POVs) before scaling, and track key performance indicators (KPIs) such as adoption, data quality, and user satisfaction.
  • Lead change management, demos, and training to drive enterprise-wide adoption and data literacy.
  • Oversee data ingestion end-to-end and the target canonical/conformed data model connecting engagement data to GSK Medical data – balancing technical debt against feature delivery.
  • Establish governance by design, overseeing the data lake governance and framework – access models, schemas, classification, lineage, metadata, quality, and storage standards aligned to CODE Orange.
  • Align platforms, engineering teams, and vendors around shared outcomes, connecting data across functions and managing dependencies through to completion.
  • Use approved AI tools to accelerate discovery and backlog trade-offs – keeping AI in support of decisions, not replacing them.
  • Ensure data assets are structured, scalable, and of high enough quality to power GenAI, predictive analytics, and agentic workflows.

Requirements:

  • Bachelor’s degree or equivalent experience in Computer Science, Data Engineering, Information Systems, Mathematics, or a related discipline.
  • 8+ years of experience in data architecture, data engineering, data product ownership, or related roles, including delivering measurable business outcomes.
  • Experience designing enterprise-scale data lake/lakehouse architectures on Azure or other cloud data platforms, including owning the target architecture.
  • Experience in conceptual, logical, and physical data modelling, including translating varied source data into canonical (standardized) data models.
  • Experience with SQL, Databricks, and/or Snowflake, and understanding of both relational and non-relational data structures.
  • Experience using data governance and semantic architecture approaches to enable enterprise-grade data governance and semantic layers.

Preferred Qualifications:

  • Experience with Azure Databricks, Spark, and Delta Lake.
  • Experience with Microsoft Fabric, Synapse, or Azure Data Lake Storage (ADLS), and Microsoft Purview or equivalent data catalogue tools.
  • Experience with canonical data models and API-based data integration.
  • Experience with data mesh and data product operating models, knowledge graphs, and ontologies.

Benefits: No specific benefits mentioned.

About GSK: GSK is a global biopharma company with a purpose to unite science, technology, and talent to get ahead of disease together.

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Skills

Required

Nice to have

  • Azure Databricks
  • Spark
  • Delta Lake
  • Microsoft Fabric
  • Synapse
  • Azure Data Lake Storage (ADLS)
  • Microsoft Purview
  • canonical data models
  • API-based data integration
  • data mesh
  • data product operating models
  • knowledge graphs
  • ontologies
  • GenAI
  • retrieval-augmented generation (RAG)
  • vector databases
  • ML feature engineering
Apply on GSK