- Oversee the Data Engineering Team through leadership and supervision. Staff may include Data Engineers ETL Specialists and other relevant technical staff.
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- Provide leadership coaching performance management and professional development to Data Engineering staff fostering a collaborative accountable and high-performing team environment.
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- Technical ownership of the data warehouse including system architecture data architecture data engineering and data pipelines
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- Lead collaboration for the deployment and implementation of tools necessary to integrate data within and across information systems and support data-driven decision making.
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- Understand business requirements and translate them into technical solutions and application features.
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- Develop and implement methods to improve data reliability quality and accessibility.
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- Maintain data governance and documentation practices for a variety of data inputs from multiple sources including flat files and spreadsheet-based files transmitted through SFTP as well as JSON/XML style objects from API interfaces and other data exchange mechanisms.
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- Participate in the evaluation and pilot of new technologies and provide recommendations regarding their alignment with business needs and strategic objectives.
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- Manage communication and relationships with data platform stakeholders balancing business requirements with technology capabilities.
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- Partner with business and technology leadership to develop and execute the Health Funds data strategy roadmap and priorities ensuring alignment with organizational goals and business objectives.
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- Develop testing protocols to ensure processes are robust and bugs are identified documented and resolved.
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- Conduct functional and non-functional testing.
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- Evaluate existing data models architectures and pipelines.
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- Develop and maintain technical documentation to accurately represent data models architectures integrations and workflows.
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- Ensure that integration processes are fully tested and any issues limitations integrations or dependencies are well defined and documented.
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- Work with cross-functional technology and business partners to lead the technical delivery of integration solutions approved within the portfolio and contribute to the ongoing development of the Funds data strategy
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- Collaborate with business partners and internal teams to understand document prioritize and implement new datasets integrations and features within the data warehouse environment.
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- Align closely with agency IT teams to support the deployment of integration systems.
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- Partner with the QA and Infrastructure teams to ensure compliance with regulatory and security requirements.
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- Establish maintain and enforce data engineering standards policies procedures and best practices to ensure data quality scalability security reliability and operational efficiency.
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- Monitor and optimize the performance availability and reliability of data platforms data pipelines data warehouse environments and integration processes to support business continuity and operational effectiveness.
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- Collaborate with Data Warehouse Architect in the design for the overall architecture of the data platforms and provide guidance and oversight.
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- Ensure that guiding principles technology standards data governance requirements and privacy policies are consistently followed.
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