The Manager, Data Engineering leads the development and operation of scalable data platforms that support enterprise analytics including reporting, and machine learning initiatives. The manager leads a team of data engineers in building and maintaining reliable data pipelines in a modern cloud data environment to deliver high-quality, trusted data across the organization. The manager partners with analytics, data governance, and business stakeholders to ensure data solutions are in alignment with enterprise data strategy.

Platform Leadership: 
• Lead the design and evolution of the enterprise data platform architecture supporting analytics, reporting, and machine learning initiatives.
• Establish and enforce data engineering standards, best practices, and development frameworks to ensure scalable and maintainable data solutions.
• Oversee the cloud data environment built on Snowflake and Microsoft Azure and drive continuous improvement.

Data Engineering Delivery: 
• Lead the development and operation of ELT/ETL pipelines that ingest and transform data from multiple enterprise systems.
• Manage and mentor a team of data engineers, ensuring timely delivery of high-quality data solutions.
• Ensure the reliability, performance, and data quality of pipelines supporting enterprise analytics workloads

Collaboration and Governance: 
• Contribute to the execution of the enterprise data and analytics strategy.
• Collaborate with enterprise architecture, IT, and data governance teams to align with security, governance, and compliance standards.
• Partner with data science, analytics, and business teams to enable advanced analytics and data-driven decision making.
 

Education:

Bachelor’s degree in Computer Science, Information Systems, or a related field. 
Master’s degree is a plus.

Work Experience:

• 8–12 years of experience in data engineering, data platform development, or related roles.
• 3–5 years of experience managing or leading data engineering teams.
• Experience designing and operating enterprise-scale data platforms and pipelines.
• Experience working in large or global enterprise environments is preferred.

Skills:

• Expertise in cloud data platforms and data warehousing technologies, particularly Snowflake.
• Expertise in Microsoft Azure services 

• Leadership and Collaboration                                                                                    

Strategic and Analytical Thinking                                                                                   Communication and Execution