Sr. Data Architect - Data Engineering 3

Responsibilities

• Strategic GTM & Pursuit Leadership: Own the technical portion of the sales cycle, including discovery workshops, oral defences, and high-quality proposal authoring. • Agentic AI Solutioning: Design and position autonomous multi-agent systems that reason and collaborate, integrating Azure AI Agent Service and Databricks AI tools to automate complex workflows. • Unified Platform Architecture: Lead the design of Azure Databricks Lakehouse architectures, focusing on unified governance (Unity Catalog), serverless compute, and seamless integration with the broader Microsoft Azure ecosystem. • Executive Stakeholder Management: Act as a trusted advisor to CxOs, translating complex "technical plumbing" into outcome-driven narratives focused on ROI and business impact. • Team Mentorship & Growth: Scale and lead a team of Solutions Architects, establishing best practices for solutioning, demo creation, and value-based selling. • Lead and manage presales, providing coaching, guidance, and support to drive individual and team success. • Architect end-to-end data solutions, including modern data warehouses (ETL, Databricks, AWS) and analytics platforms. • Collaborate with sales to win deals by creating compelling proposals, conducting workshops, and delivering product demonstrations. • Manage the technical response process for Requests for Proposals (RFPs) and Information (RFIs). • Guide and mentor pre-sales analysts/architects and work with product/marketing teams to update the solution portfolio • Knowledge on Data analytics, ETL, Databricks and Pipeline • Collaborate with the sales team to understand client needs, develop innovative solutions, and deliver engaging presentations, demos, and proof of concepts. • Serve as a trusted advisor to clients, leveraging your technical expertise and knowledge to identify and address their business challenges. • Develop and maintain, staying up to date with the latest enhancements and industry trends. • Conduct technical workshops and training sessions for clients and internal teams to promote the value and benefits. • Collaborate with product management and engineering teams to provide feedback on product enhancements and contribute to the development of new features. • Stay abreast of competitors' offerings and industry best practices, providing insights and recommendations to help differentiate our solutions in the marketplace. • Support the sales team in contract negotiations, providing technical expertise and assisting in the creation of proposals and statements of work. • Build and maintain strong relationships with key stakeholders, including clients, partners, and internal teams, to drive customer satisfaction and retention. • Hands-on experience with visualization tools like Power BI or Tableau. • Familiarity with emerging AI technologies, including Generative AI, LLMs, and Agentic AI. • Deep expertise in Data Warehousing, ETL/ELT processes, and Data Governance. • Continuously evaluate and improve the presales process, tools, and methodologies to optimize efficiency and effectiveness.