Data Architect

Designs and builds data pipelines and infrastructure to support analytics and product features. Requires expertise in SQL, Python, and cloud data platforms like AWS and Snowflake.

This Data Architect role develops and maintains a comprehensive data architecture strategy aligned with client business objectives. The role involves designing logical and physical data models, architecting data warehousing solutions, and directly developing ETL processes and data pipelines. Candidates need 10+ years of experience, expertise in data modeling and cloud platforms (Azure, GCP), and strong client management and team leadership skills.

The Data Engineer will build and maintain data pipelines and infrastructure, designing ETL processes, ensuring data quality, and optimizing data storage. Requires strong programming and database skills.

The Senior Manager of Data Engineering will lead the data engineering team, building and maintaining data pipelines and infrastructure. This role involves strategic planning and technical leadership.

This role involves advising clients on data governance strategies, including data quality, compliance, and data management frameworks. It requires strong consulting skills and expertise in data governance tools.

This role specializes in developing machine learning models for time series analysis and forecasting. It requires deep expertise in statistical and ML methods for time-dependent data.

This role involves leading the development and delivery of advanced data and AI training programs. It requires extensive experience in data science and education.