Manager, Data Engineering & Architecture
Listed on 2026-01-01
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IT/Tech
Data Engineer, Data Science Manager
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Job Summary
The Manager, Data Engineering & Architecture leads the design and development of scalable, secure data solutions on Azure, including Data Lake, Databricks, Synapse, and Data Factory. This hands-on role manages a team of engineers, partnering with business stakeholders to translate requirements into robust data architectures that support analytics and strategic decisions. The ideal candidate combines technical expertise with leadership skills and a strong focus on operational excellence, data governance, and continuous improvement.
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Job Summary
The Manager, Data Engineering & Architecture leads the design and development of scalable, secure data solutions on Azure, including Data Lake, Databricks, Synapse, and Data Factory. This hands-on role manages a team of engineers, partnering with business stakeholders to translate requirements into robust data architectures that support analytics and strategic decisions. The ideal candidate combines technical expertise with leadership skills and a strong focus on operational excellence, data governance, and continuous improvement.
Job Duties
- Lead and manage a team of data engineers and developers responsible for building and maintaining scalable, modern data architecture using Azure-based technologies (Data Lake, Databricks, Synapse, ADF, etc.). (Essential)
- Oversee the development and ongoing optimization of the enterprise data warehouse and data pipelines to support business intelligence, analytics, and reporting needs. (Essential)
- Ensure data quality by applying effective data quality controls and utilizing data observability techniques. (Essential)
- Partner with business leaders and the BI team to align data platform capabilities with strategic organizational goals. (Essential)
- Collaborate with stakeholders, analysts, and cross-functional teams to define data requirements, model data sources, and deliver well-structured, high-quality solutions. (Essential)
- Define and enforce best practices in data engineering, data governance, metadata management, security, and compliance (e.g., SOX, SOD, audit logging). (Essential)
- Coordinates team member selection and development and ensures team members comply with appropriate policies and procedures.
- Other duties as assigned.
- Ensure the reliability, integrity, and performance of data systems, and implement ongoing enhancements to increase scalability, quality, and accessibility.
- Develop and maintain technical and architectural documentation to support knowledge transfer and long-term sustainability of data systems.
- Provide hands-on guidance and mentorship to team members, supporting career development, performance management, and a culture of innovation and accountability.
- Support the evaluation and integration of third-party data sources, APIs, and tools as needed.
- Contribute to the development of enterprise-wide data governance frameworks and promote data literacy across the organization.
- Bachelor's Degree in in Data Management, Information Technology, Computer Science or related (Required)
- 6 years in of related work experience in data architecture, data management & development (Required)
- 6 years in of experience in database technologies - SQL Server, Oracle, SAP, etc. (Required)
- 2 years in leadership experience and direct oversight of team members in a medium-large, diverse organization (Required)
- 3 years in of experience with modern data platforms using Azure Functions, Data Factory, Databricks, Synapse (Preferred)
- 3 years in of experience with scripting languages - Python, SQL, Scala, etc. (Preferred)
- Hands-on design and development experience with multiple data technologies and approaches
- Familiarity with data exploration/data visualization tools like Domo, Tableau or Power BI
- Demonstrated ability to…
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