This role focuses on designing, developing, and maintaining robust data solutions crucial for data generation, collection, and processing. You will architect and build efficient data pipelines, ensuring high data quality and implementing sophisticated ETL processes for seamless data migration and deployment across systems. The position requires a deep understanding of data architecture and the ability to collaborate effectively to meet data requirements.

We are seeking a proactive individual who can become a subject matter expert and contribute significantly to team discussions. Your problem-solving skills will be instrumental in developing effective solutions. This role also involves monitoring and troubleshooting data workflows, documenting processes, and providing support to junior team members, fostering a collaborative and knowledge-sharing environment.

- Design, develop, and maintain comprehensive data solutions. - Create and manage efficient data pipelines. - Ensure data integrity and quality throughout the lifecycle. - Implement ETL processes for data migration and deployment. - Collaborate with cross-functional teams to understand data needs. - Monitor and troubleshoot data workflows for optimal performance. - Document data processes and workflows. - Provide guidance and support to junior data engineers.

- Minimum of 3 years of professional experience is required. - Proven expertise in the Databricks Unified Data Analytics Platform is essential. - Experience in building and managing scalable data pipelines and workflows. - Strong understanding of data integration techniques and ETL processes. - Familiarity with cloud-based data storage and processing solutions. - Ability to optimize data processing for performance and cost efficiency. - Knowledge of data governance and data quality best practices is expected. - A commitment to 15 years of full-time education is a prerequisite for this role.