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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