Databricks Capability Lead

Job Title: Databricks Capability Lead Role

Overview:

The Databricks Capability Lead will be responsible for driving Databricks-based solutions, ensuring enterprise data architecture alignment, and delivering best-practice frameworks. This role requires expertise in solution design, client advisory, and coaching teams while promoting innovation through IP creation and accelerator development.

Key Responsibilities:

- Databricks Certification: Leverage Databricks expertise to design and implement solutions.

- Enterprise Data Architecture: Align solutions with enterprise architecture standards.

- Solution Design: Create scalable and efficient data solutions using Databricks.

- FinOps Alignment: Ensure cost optimization and financial governance in cloud environments.

- Accelerator Development: Build reusable accelerators to enhance delivery speed.

- Best-Practice Frameworks: Define and enforce frameworks for Databricks implementations.

- Client Advisory: Act as a trusted advisor for clients on Databricks capabilities.

- Coaching Teams: Mentor and guide teams on Databricks best practices.

- IP Creation: Develop intellectual property such as whitepapers and patents.

- Delivery Governance: Oversee governance processes to ensure quality and compliance.

Required Skills & Qualifications:

- Databricks Certified professional.

- Strong experience in enterprise data architecture and solution design.

- Knowledge of FinOps principles and cost optimization strategies.

- Ability to develop accelerators and best-practice frameworks.

- Excellent client advisory and team coaching skills.

Key Competencies:

- Leadership & Strategic Thinking

- Problem-Solving & Innovation

- Collaboration & Communication

- Attention to Detail

- Adaptability & Continuous Learning