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 ...