Jobs → Data & Analytics → Senior Data Platform Engineer

About the Role We’re looking for a Senior Data Platform Engineer to join a team focused on evaluating, validating, and enabling the adoption of emerging Microsoft Azure and Databricks capabilities across an enterprise data platform ecosystem. This role combines hands-on engineering, technical research, platform integration, proof-of-concepts (POCs), governance, and architecture advisory. Key Responsibilities • Evaluate emerging Azure and Databricks capabilities for enterprise adoption. • Design and execute POCs covering scalability, security, governance, and operability. • Build API-based integrations, reusable frameworks, and automation solutions. • Work with platform engineering teams to establish technical standards and best practices. • Evaluate data governance, observability, AI-assisted operations, and platform automation technologies. • Create technical documentation, architecture recommendations, and decision frameworks. • Identify opportunities to improve platform reliability, operational efficiency, and developer experience. • Use AI-assisted engineering tools such as GitHub Copilot to accelerate development and experimentation. Requirements • Strong hands-on experience with Databricks, including Unity Catalog and data governance. • Experience with Azure Synapse Analytics and modern Azure data services. • Strong knowledge of REST APIs, API development, and system integrations. • Experience integrating enterprise platforms and cloud-native solutions. • Proficiency in Python, Java, or Scala. • Understanding of cloud architecture, automation, CI/CD, and GitHub. • Experience with technical evaluations, POCs, pilots, or architectural assessments. • Strong communication and stakeholder-management skills.