VP, Databricks Practice Lead

• Define and execute the vision and go-to-market strategy for our developing Databricks practice
• Build and scale service offerings that integrate Databricks with broader data, AI, and cloud transformation initiatives
• Drive revenue growth through new client acquisition, expansion of existing accounts, and joint GTM with Databricks and cloud partners
• Serve as a trusted advisor to C-suite and senior client executives, shaping their data, analytics, and AI transformation journeys
• Oversee high-impact delivery engagements, ensuring business outcomes, scalability, and best-in-class execution
• Evangelize the Databricks Lakehouse Platform in client presentations, industry forums, and thought leadership initiatives
• Strengthen and expand our alliance with Databricks, cloud hyperscalers (AWS, Azure, GCP), and complementary technology partners
• Collaborate with sales, marketing, and alliance teams to develop joint campaigns, co-selling motions, and IP/accelerators
• Build and mentor a high-performing team of data engineers, ML engineers, architects, and consultants
• Foster a culture of innovation, continuous learning, and delivery excellence
• Develop career pathways and certification programs to deepen organizational expertise in Databricks and modern data stack tools
• Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
• Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
• Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
• Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information

• 15+ years of experience in data, analytics, and digital transformation for a systems integrator, technology provider, or digital consultancy
• 5+ years of experience in leadership roles
• Deep expertise in Databricks and cloud-native data platforms
• Databricks certification(s)
• Proven track record of building and scaling practices, including GTM and team growth
• Proven success delivering solutions in collaboration with global teams
• Outstanding presence, presentation, and negotiation skills; the ability to inspire, engage, partner with, and influence executive-level leadership
• Experience leading large-scale data modernization, AI/ML, or digital transformation initiatives
• Excellent organizational skills and a methodical approach to tasks
• Bachelor's degree and/or equivalent experience preferred

Pay range: $250K - $285K