Databricks Center of Excellence (CoE) Leader

Capgemini • Atlanta, GA

3d

About The Position

The Databricks Center of Excellence (CoE) Leader is a senior consulting leader responsible for driving strategy, revenue growth, delivery excellence, and capability development for Databricks and Lakehouse solutions within the organization. The role partners closely with sales teams, cloud providers, Databricks alliances, and delivery teams to accelerate adoption of modern data and AI platforms.

Requirements

• 15+ years in data/analytics/cloud consulting, with 5+ years on Databricks or modern platforms.
• Proven leadership of large data modernization and AI transformation programs.
• Strong pre‑sales, advisory, and executive engagement skills.
• Deep Databricks expertise (Lakehouse, Spark, Delta Lake, Unity Catalog, MLflow, streaming).
• Experience building high‑performing data/AI teams.
• Strategic, systems‑level thinker with strong execution skills.
• Ability to manage complex, multi‑stakeholder initiatives.
• Executive presence and advisory strength.
• Strong communicator and thought leader.
• Passion for data and AI innovation.

Nice To Haves

• Databricks certifications.

Responsibilities

• Support sales in identifying and closing Databricks‑based data and AI opportunities.
• Lead pre‑sales: workshops, assessments, architecture design, proposals.
• Build reusable assets such as reference architectures and industry solutions.
• Collaborate with Databricks and cloud partners (Azure/AWS/GCP).
• Ensure delivery quality and technical excellence across Databricks engagements.
• Act as executive sponsor for key modernization and AI programs.
• Guide teams on data engineering, analytics, ML/AI, streaming, governance, and MLOps.
• Promote Lakehouse best practices and cost optimization.
• Grow Databricks skills through training, certifications, and recruitment.
• Define service offerings, CoE roadmap, delivery methodologies, and maturity models.
• Represent the firm at industry and Databricks events.
• Publish blogs, whitepapers, architectures, and case studies.
• Drive internal knowledge‑sharing communities.
• Maintain strong partnerships with Databricks field and product teams.
• Track KPIs: bookings, adoption, utilization, certification progress, customer success.
• Support annual planning and strategic investments.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed