Databricks COE Leader
Capgemini
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.
Core Responsibilities:
Sales & GTM
- 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).
Delivery Leadership
- 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.
Practice & Capability Building
- Grow Databricks skills through training, certifications, and recruitment.
- Define service offerings, CoE roadmap, delivery methodologies, and maturity models.
Thought Leadership
- Represent the firm at industry and Databricks events.
- Publish blogs, whitepapers, architectures, and case studies.
- Drive internal knowledge‑sharing communities.
Operational & Partner Management
- Maintain strong partnerships with Databricks field and product teams.
- Track KPIs: bookings, adoption, utilization, certification progress, customer success.
- Support annual planning and strategic investments.
Required Experience
- 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.
Vacancy posted 1 day ago
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