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Job Description

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 modern 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
up-to-date 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

📌 Lead Data (Pune)
🏢 Qualys
📍 Pune