Data Engineering Manager

The Manager, Data Engineering is responsible for overseeing the design, development, and maintenance of robust, scalable, and high-performance data systems that support business intelligence, analytics, and data science initiatives. This will include building and maintaining scalable data pipelines, championing data quality and governance standards, and enabling self-service analytics and advanced data science capabilities. They will partner closely with stakeholders across technology, products, analytics, and business teams to ensure data is a trusted and strategic asset. They will help define the roadmap, architecture, and tools that support current and future data needs—driving operational excellence and innovation at scale.

Position Responsibilities May include:

Mentor, and grow a team of data engineers, ensuring high performance, engagement, and career development. Oversee the development and optimization of data pipelines, ELT processes, and data integration systems from various sources. Ensure high availability and performance of data systems. Optimize cost and performance of data infrastructure. Ensure the reliability, performance, and scalability of data infrastructure in cloud or hybrid environments. Collaborate with cross-functional teams including Data Science, Analytics, Product, and Engineering to support data needs and project goals. Define and enforce best practices for data modeling, warehousing, governance, security and quality. Set technical direction and standards for data architecture and engineering practices. Drive best practices in documentation. Champion automation and CI/CD Implement monitoring, observability, and data quality frameworks. Own the architecture, scalability, and reliability of the company's data platform. Translate business requirements into scalable technical solutions. Manage technical projects from concept through implementation, including planning, prioritization, and delivery. Drive hiring, performance management, and career development. Foster a culture of ownership, quality, and continuous improvement. Monitor team performance and ensure adherence to timelines, budgets, and organizational goals. Evaluate and recommend new tools, technologies, and architectures to improve data infrastructure. Participate in strategic planning and roadmap development for the Data Engineering function. Perform other tasks as assigned

Nature & Scope:

Ensures work is aligned with the Director's expectations, goals, and vision Accountable for implementation of policies, processes, and procedures for short-term results Decisions and problem-solving are guided by policies, procedures and business plan; receives guidance from Senior Manager/Director Works on difficult to moderately complex issues and projects Provides guidance and training to subordinates Has authority to hire, recommend pay, establish performance and recommend for termination Level of signing authority established by company policy/guidelines

Knowledge & Skills:

Strong proficiency in SQL and programming languages such as Python or Java. Experience with modern data platforms such as Snowflake. Expertise in building and optimizing data pipelines and architectures (batch and streaming). Familiarity with cloud platforms (AWS, GCP, Azure) and related data services. Deep understanding of data warehousing concepts, dimensional modeling, and schema design. Experience with DevOps and CI/CD practices in a data engineering context. Proficient MS Office skills - Outlook, Excel, Word and PowerPoint Excellent leadership skills; able to envision, develop, direct, manage, delegate responsibility and authority and motivate an organization Excellent communication skills, verbal and written; strong marketing/business acumen Demonstrates consultative leadership at the individual or team level Capable of communicating with people at all levels of organizations (internal/external) Ability to communicate and inspire a team through accountability, delegation, and recognition Ability to apply good judgement, decision making skills and strong work ethics and integrity on the job

Experience:

8+ years of work experience in data engineering 5+ years of successful leadership experience through managing projects or teams

Education/Certification:

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field required. Master's degree preferred. Equivalent practical experience will also be considered.

People Management:

Yes Physical Requirements /

Work Environment:

• Must be able to perform essential responsibilities with or without reasonable accommodations

Reports To:

VP, Data Management & Strategy The Company provides equal employment opportunity to all employees and applicants regardless of a person's race, color, religion (including religious dress or grooming practices), creed, national origin (including language use restrictions), citizenship, uniform service member or veteran status, ancestry, disability, physical or mental disability (including

HIV/AIDS

), medical condition (including cancer and genetic characteristics), genetic information, request for protected leave, marital status, sex, pregnancy, age (over 40), sexual orientation, gender, gender identity or expression, political affiliation, or any other characteristic protected by law. The Company will comply with all federal and state regulations and statutes about individuals with disabilities.