Databricks SME & Solutions Lead

Job Summary

As part of the leadership team for Data business, the role will be responsible for building and growing the Databricks capability within the organization. The role entails driving technical strategy, innovation, and solution delivery on the Databricks Unified Data Analytics platform. This leader will work closely with clients, delivery teams, technology partners, and internal stakeholders to define and deliver scalable, high-performance solutions using Databricks.

Key Responsibilities:

• Serve as the

  Subject Matter Expert (SME)

  in

  Databricks

  for internal teams and external clients.
• Lead the growth and maturity of the [technology] practice — define standards, processes, tools, and roadmaps.
• Collaborate with sales and solutioning teams to drive

  pre-sales activities

  — including client presentations, solution architecture, PoCs, and RFP responses.
• Act as a

  trusted advisor

  to clients, guiding them on architecture, best practices, and value realization.
• Build and mentor a team of engineers and consultants within the practice.
• Represent the company in thought leadership initiatives — webinars, blogs, conferences, etc.
• Work cross-functionally with delivery, engineering, and marketing teams to expand practice capabilities.
• Stay updated on product releases, industry trends, and customer use cases.

Required Qualifications:

• 12–15 years of experience in

  Data Engineering, Analytics, or AI/ML

  , with 3–5 years of focused experience on

  Databricks

• Proficiency in architectural best practices in cloud around user management, data privacy, data security, performance and other non-functional requirements

Proven experience delivering large-scale data and AI/ML workloads on Databricks

• Deep knowledge of Spark, Delta Lake, Python/Scala, SQL, and data pipeline orchestration
• Experience with MLOps, Feature Store, Unity Catalog, and model lifecycle management
• Certification preferred (e.g., Lakehouse Fundamentals, Data Engineer Associate/ Professional)
• Experience integrating Databricks with cloud platforms (Azure, AWS, or GCP) and BI tools
• Strong background in solution architecture, presales, and client advisory
• Excellent communication, stakeholder engagement, and leadership skills
• Exposure to data governance, security, compliance, and cost optimization in cloud analytics