Architect and implement scalable data solutions using the Databricks Lakehouse Platform, including Medallion architecture, streaming integration, and ACID-compliant designs
Lead pre-sales and business development efforts by assessing current-state environments, identifying client pain points, comparing technologies, and justifying ROI for tailored solutions
Advise client executives (CTOs, CDOs) on strategic data initiatives, platform evolution, and enterprise-scale architecture decisions
Ensure governance and alignment of delivered solutions with original scope, serving as the escalation point for delivery teams
Collaborate across cross-functional teams, such as engineering, BI, platform, integration, and AI, to drive innovation and data democratization
Mentor and guide data teams, leading discussions and technical delivery without formal people management responsibilities
Stay current on product evolution, including Lakehouse Monitoring, Lake Designer, Delta Sharing, Mosaic AI, and Matrix.

7+ years of experience in data engineering, solution architecture, or related roles
Hands-on expertise with Databricks Lakehouse Platform and cloud-based data technologies
Experience supporting pre-sales activities such as discovery sessions, technical demos, and proposal development
Strong background in enterprise data architecture, governance frameworks, and scalable solution design
Experience with platform migrations including Snowflake, Informatica, and on-prem systems
Ability to compare cloud platforms pragmatically and provide cost and ROI analysis (e.g., Snowflake vs Databricks) during pre-sales engagements
Proven client-facing skills with the ability to lead strategic conversations and translate technical solutions into business impact
Excellent communication and collaboration skills with a transparent, humble, and adaptable approach.

Databricks Practice Lead

Key skills