Responsibilities
• Lead end-to-end presales for data modernization opportunities including RFPs and strategic pursuits.
• Shape large, multi-year transformation deals from data warehouse to lakehouse and AI-ready platforms.
• Own solution architecture, costing, and commercial articulation in partnership with sales.
• Define legacy data warehouse modernization strategies (Oracle, Teradata, Netezza to modern platforms).
• Drive lakehouse transformations, re-platforming, code conversion, and AI-assisted modernization.
• Design enterprise data governance frameworks covering quality, lineage, catalog, and privacy.
• Build domain-driven data product architectures integrated with modern governance platforms.
• Provide architecture leadership across Databricks, Snowflake, and GCP with reference architectures.
• Deliver thought leadership through POVs, workshops, and executive advisory engagements.
• Collaborate with delivery teams to build reusable assets and mentor presales and architecture teams.
Requirements
- 12+ years in Data & Analytics with strong presales experience.
- Track record of winning large transformation deals ($5M–$50M+).
- Expertise in data warehouse modernization and Lakehouse architectures.
- Hands-on exposure to Databricks, Snowflake, and GCP.
- Experience with legacy systems (Oracle, Teradata, ETL tools).
- Strong ability to translate architecture into business value.
- Bachelor's degree in business, Information Technology, Computer Science, or a related field.
- Experience in consulting or system integrators.
- Exposure to AI/ML integration with data platforms.
- Certifications in Databricks, Snowflake, or GCP.