Job Description Grow your career internally at Qualys, our best talent comes from within Design, build, and scale enterprise-grade Data & AI/GenAI solutions that leverage enterprise data platforms and business applications to automate processes, enhance decision-making and deliver measurable business outcomes. This role focuses on defining and implementing the foundational Data & AI strategy for the CIO organization by combining contemporary data platforms, AI technologies, enterprise systems, APIs, and analytics in a secure, scalable, and production-ready environment. The ideal candidate brings experience building Data Lake or Lakehouse architectures from scratch and implement AI solutions on top of it. Responsibilities Architect and build enterprise data lake/lakehouse from scratch — including ingestion, storage, transformation, serving, and governance layers — on a modern cloud platform (Snowflake, Databricks, or equivalent). Design and implement a medallion (Bronze/Silver/Gold) architecture to serve structured, semi-structured, and unstructured data across multiple business domains.



Build scalable, reliable batch and streaming data pipelines to ingest data from enterprise applications and product source systems. Define and enforce data quality frameworks, data contracts, and SLAs across all ingestion and transformation layers. Implement data governance, lineage tracking, and metadata management — ensuring every data asset is discoverable, trusted, and auditable. Design and manage access control across the lake — including role-based access control (RBAC), row-level and column-level security — harmonizing identity and entitlements across enterprise source systems. Own the Data Lake platform evaluation and produce a recommendation covering cost, governance, AI readiness, and operational overhead. Build AI-powered applications on top of the data platform — including natural language interfaces to enterprise data, RAG-based intelligent search, automated reporting, and wor

📌 Lead Data (Maharashtra)
🏢 Qualys
📍 Maharashtra