Information Technology Group, Information Technology Group > IT Data Engineer
General Summary
Enterprise Data Architect or Data Modelling Lead will play a critical role in shaping the future of our data capabilities as part of strategic and critical Enterprise Data Transformation (EDT) program. We're seeking a visionary, hands-on leader to drive the build out of a contemporary enterprise-wide lake house with scalable, reliable and business intuitive data architecture for supporting self-service capabilities across Data & Analytics solutions. This role will be an individual contributor and partnering closely with cross-functional teams in building enterprise data model which can support Analytics, GenBI, AI/ML and Data Sandboxing solutions.
Key Responsibilities
Vision and Strategy: Define and lead the vision, strategy, roadmap for data platform (data lakes, warehouses, governance, data quality, onservability etc.),
aligning with business objectives and technological advancements to enable data platforms as the strategic enabler for AI
Relentless Execution of Enterprise Data Model Development: Rapid delivery of design and development of data model (functional, logical, physical) in advanced cloud based solutions such as AWS based Databricks platform ensuring seamless data integration, quality, compliance and security.
Data Engineering: Map out the existing legacy Data warehouses in developing an enterprise level data model that can fit in medallion architecture lakehouse platform for supporting current and future GenAI analytics needs.
Self Service enablement: Partner with business stakeholders and internal data solutions team to empower business for self-service.
Cross-Functional Collaboration: Collaborate with IT and Business with a product mindset to ensure data models meet business needs and to drive innovation. Also collaborate with teams across the globe to ensure high quality and timely delivery.
Challenge Status
📌 Databricks Lakehouse Enteprise Data Architect and Modeller (Hyderabad)
🏢 Qualcomm
📍 Hyderabad
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