Presales Lead - Data Modernization & Data Platforms
• 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.