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Lead architecture, design, and delivery of modern cloud data platforms and analytics solutions. Translate business requirements into secure, scalable data pipelines, guide implementation teams, support pre-sales, and contribute to practice IP, standards, and mentoring across distributed, client-facing engagements.

Lead architecture and hands-on delivery of production agentic AI solutions: design reusable accelerators, integrate LLMs and retrieval (RAG), ensure reliability, security, observability, and guardrails, collaborate with cross-functional teams, mentor engineers, and contribute IP, patterns, and production best practices across clients.

Design and deliver end-to-end cloud data and AI solutions, lead and mentor engineering teams, ensure performance, security, scalability, and robust data integration. Build POCs, solution documentation, technical presentations, and system diagrams while working with Snowflake and major cloud/data platforms.

Lead design and delivery of end-to-end data engineering solutions for enterprise clients. Architect cloud data platforms (Snowflake, AWS, Azure, Databricks, GCP), build and optimize SQL and transformation pipelines (dbt), mentor and manage solution architects and data engineers, produce technical documentation and presentations, and ensure production performance, security, scalability, and successful client engagement.

The Lead Data Engineer role involves designing and implementing data solutions, mentoring team engineers, developing end-to-end technical solutions, and ensuring performance and security. Experience with cloud platforms and programming is required, along with SQL expertise and client-facing communication skills.

The Senior Program Manager leads high visibility data and AI projects, manages customer relationships, and drives the growth of strategic accounts. Responsibilities include overseeing multiple customers, nurturing team leaders, ensuring project delivery, and connecting business objectives with measurable outcomes.

Lead design and delivery of modern cloud data platforms and analytics solutions. Translate business needs into scalable, secure architectures, guide implementation teams, support pre-sales, mentor engineers, and contribute reusable patterns, documentation, and practice standards.

Design, build, and productionize end-to-end cloud data solutions and pipelines for enterprise clients. Translate business needs into technical architectures, ensure performance, security, and scalability, lead technical reviews, produce documentation and runbooks, mentor peers, and collaborate with client and cross-functional teams to deliver consulting engagements on time and with measurable value.

The Solutions Architect will design and implement data solutions, mentor engineers, ensure performance and security, and engage with clients while delivering technical presentations and documentation.

Lead the design and implementation of cloud-native data platforms, manage complex projects, optimize performance, and provide strategic consulting to customers.