
Databricks Capability Lead
2 days ago
We are seeking a visionary to lead our Databricks capability, drive technical excellence, and deliver high-impact data and AI/ML solutions. This strategic role is focused on building and scaling our Databricks offering, collaborating with clients, delivery teams, and technology partners to shape our Lakehouse strategy.
Key Responsibilities
- Develop and enhance Databricks-based offerings, accelerators, and reusable frameworks
- Lead solution architecture for proposals, RFPs, and strategic pursuits
- Provide technical oversight on Delta Lake, Unity Catalog, MLflow, and Structured Streaming
- Guide delivery teams on best practices, CI/CD, and performance optimization
- Build and mentor a high-performing Databricks talent pool
- Partner with sales and pre-sales to position Databricks solutions
- Drive thought leadership through whitepapers, blogs, and innovation initiatives
Requirements
- 12–15 years in Data Engineering, Analytics, or AI/ML
- 3–5 years of hands-on experience with Databricks
- Deep expertise in Spark, Delta Lake, Python/Scala, SQL, and orchestration tools
- Experience with MLOps, Unity Catalog, Feature Store, and model lifecycle management
- Familiarity with Azure, AWS, or GCP integrations and BI tools
- Strong background in solution architecture, presales, and stakeholder engagement
- GCP/AWS/Azure certifications preferred
- Excellent communication and leadership skills
- Prior experience in IT consulting or technology services
Benefits
- Participate in shaping the future of cloud data platforms
- Work with a forward-thinking team that values technical excellence, collaboration, and continuous learning
- Opportunities for professional growth and development
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