• Help design and implement data pipelines and analytic infrastructures with the latest technologies. • Create and deploy AI tools and agentic infrastructure to enhance both client and internal capabilities. • Build data warehouses using tools like dbt, working with platforms such as Snowflake, Redshift, and BigQuery. • Create beautiful dashboards and reports, and work with customers to create self-service data exploration capabilities. • Build data pipelines and integrations to connect systems, automate processes, and ensure data flows seamlessly across platforms. • Leverage APIs from multiple systems to extract and update data, trigger and monitor processes, and in general help tie our customers’ infrastructures into cohesive platforms that power their growth. • Maintain and oversee cloud infrastructure to ensure it runs with the reliability and performance our customers expect. • Help create data models, establish data governance frameworks, define metrics, and ensure data quality across reporting layers. • Develop technical documentation and best practices for our customers. • Drive internal improvement initiatives by identifying opportunities for efficiency gains, discovering new best practices, and proposing internal projects that enhance our capabilities and processes. • Contribute to our evolving DevOps and DataOps practices, helping shape how we work as we continuously improve. • Coordinate projects, activities, and tasks to ensure objectives and key results are met. • Identify opportunities, generate innovative solutions, and improve existing product features.