Responsibilities:

• Lead the design and implementation of a new data architecture and ecosystem that supports on-premise and cloud data platforms
• Work closely with stakeholders to understand business requirements and define data engineering strategies that align with company goals
• Manage a team of data engineers to ensure the successful delivery of data projects and initiatives
• Develop and implement data governance policies and procedures to maintain data quality, security, and compliance standards
• Collaborate with IT and development teams to integrate data solutions with existing systems and applications
• Drive the adoption of best practices in data engineering, including data modeling, ETL processes, data warehousing, and data pipeline development
• Conduct regular performance reviews and provide mentorship and professional development opportunities for team members

Qualifications:

• Master's degree in Computer Science, Engineering, Information Systems, or related field
• 10+ years of experience in data engineering, with a focus on designing and implementing data architecture in complex environments
• Proven expertise in working with both on-premise and cloud data technologies (e.g., SQL Server, AWS, Azure, BigQuery)
• Strong leadership and management skills with experience leading and developing high-performing data engineering teams
• Deep understanding of data governance principles, data security, and regulatory compliance requirements
• Excellent problem-solving and analytical skills with the ability to translate business needs into technical solutions
• Experience with agile development methodologies and project management practices