Vice President, Data Engineering & Architecture

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.