Responsibilities

• Design and implement scalable data transformation and integration solutions using SQL‑based and programmatic patterns.
• Build and maintain batch data pipelines using Python and cloud‑native execution models.
• Implement incremental data loading, idempotent processing, and recovery patterns to support reliable data refreshes.
• Establish and manage control structures such as watermarks, run metadata, and monitoring.
• Work across cloud environments (AWS and/or Azure) to enable secure and efficient data movement.
• Contribute to the design and implementation of strategic data platform solutions, including Palantir Foundry, following delivery of tactical solutions.
• Collaborate with data architects to ensure alignment between near‑term delivery and long‑term platform direction.
• Support data quality validation, reconciliation, operational readiness, and production support.
• Produce clear technical documentation and contribute to standards, best practices, and knowledge sharing.

Skills & Experience

• Strong experience with SQL and relational databases (e.g. PostgreSQL).
• Hands‑on experience with Python for data processing and orchestration.
• Experience working with cloud platforms (AWS and/or Azure).
• Practical understanding of incremental loading, data quality, and operational resilience patterns.
• Experience with, or strong exposure to, Palantir Foundry (pipelines, data integration, transformations, or ontology concepts).
• Comfortable working in regulated or public‑sector environments.
• Proven ability to deliver under time‑bound and evolving requirements.