Senior Data Architect

We are seeking a Senior Data Architect to join our team in Bengaluru, India. As a Senior Data Architect, you will play a critical role in designing and implementing our data architecture strategy.

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.
• Evangelize and lead change management, demos, and training to drive enterprise-wide adoption and data literacy.
• Own architecture and canonical models, overseeing data ingestion end-to-end and the target canonical/conformed data model connecting engagement data to GSK Medical data.
• Establish governance by design, overseeing the data lake governance and framework, including access models, schemas, classification, lineage, metadata, quality, and storage standards.
• Hold partners to outcomes, aligning platforms, engineering teams, and vendors around shared outcomes, connecting data across functions, and managing dependencies through to completion.
• Work AI-first, using approved AI tools to accelerate discovery and backlog trade-offs.
• Future-proof the ecosystem, ensuring 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.
• Experience in conceptual, logical, and physical data modeling, 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.

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work with a global biopharma company.
• Collaborative and dynamic work environment.