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Design and lead implementation of modern data architectures across cloud and on-prem systems. Assess technologies, improve data integration, quality, governance, and delivery; guide engineering teams, advise executive stakeholders, and support business development and practice growth.

Lead design and implementation of cloud-based data pipelines and distributed data systems. Advise clients on best practices, partner with stakeholders to translate requirements, provide technical leadership and mentorship, and maintain scalable ETL, warehousing, and streaming solutions across cloud platforms.

Design and lead end-to-end AI/ML solutions for clients: advise on AI strategy, architect cloud-based, scalable systems, oversee delivery from prototype to production, implement CI/CD and model lifecycle practices, support pre-sales, and ensure responsible AI governance and best practices.

Lead design and implementation of cloud-based data pipelines and architectures. Advise clients on best practices, build/operate distributed ingestion and processing systems, mentor engineers, and collaborate with stakeholders to deliver scalable data warehousing and lake solutions using modern cloud technologies.

Design, build, and maintain cloud data pipelines and data products across AWS, Azure, or GCP. Advise clients on cloud data architecture, implement production database and ETL/streaming solutions, collaborate with stakeholders, and evaluate architectural tradeoffs to meet business needs.

Lead client engagements to define and deliver data strategy, architecture, governance, and modern data platform solutions. Translate business needs into actionable roadmaps, assess and recommend data management technologies, guide integrations and real-time pipelines, mentor teams, and support business development and delivery within a consulting context.

Design and recommend end-to-end data architecture strategies across on-prem and cloud, improve data integration, quality, and delivery; evaluate architectural trade-offs; lead and mentor teams; collaborate with stakeholders and business development to propose solutions and drive data governance and modern data platform implementations.

Lead data strategy and delivery for clients by assessing architectures, defining data management and governance, recommending technologies, and mentoring teams. Translate business needs into actionable roadmaps, scope consulting engagements, and guide implementation of integrations, real-time streaming, NoSQL, and cloud data platforms.

Serve as a trusted advisor designing, implementing, and maintaining cloud data pipelines and systems. Partner with product owners and SMEs to translate requirements, provide technical leadership, mentor engineers, and ensure scalable, supportable data solutions using modern cloud and ETL technologies.

Design, build, and maintain cloud data pipelines and architectures on AWS/Azure/GCP. Advise clients on cloud ingestion/processing strategies, implement production data products, collaborate with stakeholders, and evaluate architectural tradeoffs.