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Vice President, Data Engineering & Architecture
Vice President, Data Engineering & ArchitectureThree Across • delhi, delhi, in
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Vice President, Data Engineering & Architecture

Vice President, Data Engineering & Architecture

Three Across • delhi, delhi, in
18 days ago
Job description

Role : - Vice President – Data Engineering & Architecture

Work Mode : - Remote

About the Role :

We are seeking a hands-on and visionary leader to serve as Vice President – Data Engineering & Architecture. This role will drive digital transformation through data, defining how it is structured, centralized, and leveraged to power analytics, automation, and AI across the enterprise.

Key Responsibilities :

  • Lead end-to-end data engineering, modeling, and architecture efforts across the organization.
  • Design and implement scalable, high-performance data architectures, including warehouses and data lakes, supporting enterprise analytics and automation.
  • Build and manage a high-performing team, fostering a culture of innovation, ownership, and technical excellence.
  • Serve as a people leader, mentoring teams and aligning data strategy with business goals.
  • Drive digital transformation by reviewing existing systems, recommending architectural improvements, and implementing automation for scalability and efficiency.
  • Ensure data is centralized, governed, and optimized to enable timely, accurate insights across business functions.
  • Collaborate cross-functionally with automation, AI, and software development teams to maximize data impact.
  • Establish robust data governance, quality, and compliance frameworks.

What We’re Looking For :

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
  • 10+ years of experience in data engineering, architecture, or related fields.
  • Proven experience designing and implementing large-scale data warehouses and data lakes using AWS Redshift and / or SQL Server.
  • Strong understanding of OLAP and OLTP systems, data modeling, and database optimization.
  • Advanced proficiency in SQL and enterprise data integration practices.
  • Experience with Power BI or similar BI tools for enterprise reporting and visualization.
  • Familiarity with AI / ML data preparation, semantic data modeling, and natural language query enablement is a strong plus.
  • Excellent communication and stakeholder management skills, with the ability to bridge technical and business discussions.
  • Demonstrated success working collaboratively with automation, analytics, and software development teams.
  • True leaders don’t just build data systems; they build clarity, confidence, and a smarter future.

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