Overview: Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences tomorrow. A ServiceNow-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. A “Great Place To Work® Certified™” company, Prodapt employs over 6,000 technology and domain experts across the Americas, Europe, India, Africa, & Japan. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally.
Role Summary: We are looking for a Presales Lead who can lead presales and solutioning for large-scale data modernization and data platform transformation deals across the Americas. Own the end-to-end solution strategy for data warehouse modernization, data platforms, and governance, combining deep technical expertise (Databricks, Snowflake, GCP) with strong business storytelling to win strategic deals.
Roles & 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.
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.
Preferred:
Experience in consulting or system integrators.
Exposure to AI/ML integration with data platforms.
Certifications in Databricks, Snowflake, or GCP.
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