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
📌 Lead Data (Pune)
🏢 Qualys
📍 Pune