Presales Solutions Architect - Data & AI

Lead design and architecture of end-to-end enterprise data solutions including data warehouses, operational data stores, and data integration in on-premises environments.

Develop detailed cost models and conduct ROI and TCO analysis to support legacy modernization and platform consolidation initiatives.

Collaborate with sales, delivery, and finance teams to craft technical proposals, define data governance frameworks, and ensure solution alignment through delivery and post-sales support.

8–12 years experience in data architecture, data engineering, or presales consulting with at least 5 years focused on enterprise on-premises data platforms.

Bachelor's degree (BA/BS) required; Master’s degree preferred.

Strong technical expertise in enterprise database platforms (Oracle, SQL Server, DB2, Teradata) and data warehousing concepts.

Experience developing cost models, ROI justifications, and technical proposals in complex sales environments.

Experienced in presales roles with measurable contributions to deal wins involving enterprise data solutions within traditional enterprise IT environments.

Skilled in translating complex data architectures into clear business value and integrating cross-functional inputs (sales, finance, delivery).

Familiar with data governance, data quality, performance optimization, and use of GenAI tools to enhance presales productivity.