Responsibilities

• Lead the design and implementation of data and AI/ML architecture solutions across cloud and on-premise platforms
• Lead complex customer engagements, providing strategic technical vision and aligning solutions with customer business goals
• Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor
• Lead technical workshops, training sessions, and presentations
• Define and execute data lifecycle processes: ingestion, storage, processing, and visualization
• Collaborate with business units and stakeholders to align solutions with business goals
• Ensure solutions adhere to security, compliance, and architecture frameworks (e.g., AWS Well-Architected, GCP Architecture Framework)
• Lead cross-functional teams, providing mentorship and guidance to technical talent
• Design and execute proofs of concept for emerging technologies like Ge...