Assistant Vice President - Data Architect Engagement Manager

About the Role

Key Responsibilities

• Build strong, trust-based relationships with client stakeholders by regularly engaging on-site and walking client floors.
• Identify upsell and cross-sell opportunities within ongoing engagements by understanding evolving client needs.
• Partner with Account and Practice leaders to drive pipeline development and deal conversion.
• Lead sales pursuits from lead identification through qualification, proposal creation, and pricing.
• Contribute to new business development and expansion within existing accounts through solutioning and executive-level engagement.
• Ensure high-quality delivery across data engineering and architecture projects.
• Own solution design and delivery oversight to align with client objectives and industry best practices.
• Develop and implement innovative, cloud-first data strategies using platforms like Snowflake, Databricks, Azure, AWS, or GCP.
• Act as a trusted advisor to client executives, providing thought leadership on data architecture, governance, and modernization.
• Guide internal teams on technical and strategic delivery, driving measurable outcomes and client satisfaction.

Requirements

• Experience in consulting, preferably in business leadership, or multiple years of demonstrated experience in enterprise digital and tech-enablement transformations, especially in data engineering, data architecture & design, dataops, analytics, or data strategy.
• Proven track record in selling and delivering enterprise data engineering or architecture solutions.
• Deep expertise in building and architecting enterprise solutions in Databricks, Snowflake, AWS, Azure, GCP, or other modern data architecture tools.

Nice to Have

• Ability to guide customer teams on enabling data onboarding, fluency, and literacy on Snowflake.
• Experience in sales pursuit activities involving data engineering, data science, and data analytics.
• Experience with modern data technology solutions like Databricks, Snowflake, Azure, AWS.
• Experience in driving revenue growth through data engineering solutions.

Qualifications

• Bachelor's degree or equivalent education.

Benefits & Perks

• The approximate annual base compensation range is $100,000 to $125,000, with total compensation and benefits determined by experience, skills, location, and internal factors.
• Work-from-Anywhere roles (excluding Los Angeles, California).
• Opportunities for career growth, hands-on experience, world-class training, mentorship, and AI certifications.
• Work in a dynamic, innovative environment committed to ethical AI, governance, transparency, and security.
• Join a culture built on values of courage, curiosity, integrity, and inclusion.