Data Engineer

• Define and own the Snowflake architecture strategy for US clients - from ingestion to transformation and modelling.
• Lead end-to-end design and implementation of Snowflake-based data platforms, ensuring scalability, performance, and security.
• Establish best practices for schema design, query optimisation, and performance tuning within Snowflake.
• Guide clients on Snowflake feature adoption (e.g. Snowpark, Streams, Tasks, Data Sharing, and Governance).
• Ensure platforms are optimised for integration with downstream AI, analytics, and digital products.
• Lead client-facing data engineering and strategy engagements, ensuring technical excellence and commercial success.
• Oversee development of data pipelines and transformations feeding Snowflake environments.
• Promote consistency in design patterns, CI/CD, and version control across teams and projects.
• Drive operational excellence through measurable engineering standards and quality frameworks.
• Work directly with senior client stakeholders to define data modernisation roadmaps and business outcomes.
• Collaborate closely with AI, Product, and Cloud leads to align Snowflake data foundations with broader solution delivery.
• Represent the data practice in proposals, workshops, and technical discovery sessions.
• Mentor and develop data engineers and architects across US and nearshore teams.
• Contribute to building AND Digital’s Snowflake delivery capability - frameworks, accelerators, and training.
• Support business development and pre-sales conversations with Snowflake-aligned solution expertise (partner-sales alliances approaches put into practice).

Principal Data Engineer

Staff Data Engineer

Data Engineer

Data Engineer

Data Engineer