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Design and implement data models and ETL pipelines on Snowflake; perform data transformation, cleansing, ingestion, and governance. Support production ETL, collaborate with BI teams to build reports, train users, and lead cross-location teams. Drive migrations from on-premise sources to Snowflake and ensure data quality and lineage for analytics.

The Architect - Platform role involves designing and maintaining cloud infrastructure, implementing IaC practices, automating processes via CI/CD, and leading teams in an Agile environment.

Design, build, and maintain Snowflake-based data warehouse solutions: ETL/ELT pipelines, data modeling, transformations, data governance, production support, and BI enablement while leading cross-location teams.

The Senior Test Automation Engineer will lead manual and automation testing, document strategies and cases, and coordinate with the scrum team, emphasizing effective communication.

The Associate Architect - Data will design and implement AWS-based data warehouses and lakes, utilize semantic layer tools, optimize performance, and integrate data with BI tools.

The Engagement Manager will oversee client relationships, project delivery, and team management for data and cloud engagements, ensuring successful project execution and team development.

The role involves leading data migration and modernization strategies, designing scalable AWS solutions, and managing large-scale data projects. Responsibilities include technical leadership, architecture design, project implementation, and mentoring engineers.

The Architect - Machine Learning role involves designing cloud ML solutions on AWS, implementing Generative AI models, and collaborating with cross-functional teams to enhance LLM performance for user-friendly applications.

The Associate Architect will lead the development and deployment of machine learning solutions on Azure, manage the ML lifecycle, and optimize existing models while providing technical leadership to project teams.