The Senior Manager, Data Engineering will play a pivotal role in driving data-driven decision-making and innovation within our organization. This high-impact position requires a seasoned leader with a deep understanding of data engineering principles, cloud technologies, and a proven track record of delivering complex projects.
Responsibilities
- Technical Leadership: Oversee the design, development, and maintenance of data infrastructure, pipelines, and systems that support critical business operations.
- Team Management: Lead, mentor, and develop a high-performing team of data engineers, ensuring they have the tools, resources, and support needed to succeed.
- Technology Modernization: Drive the adoption of modern data technologies and best practices to enhance efficiency, scalability, and reliability.
- Stakeholder Management: Build and maintain strong relationships with business leaders, IT stakeholders, and vendors to align data initiatives with strategic objectives.
- Project Delivery: Successfully manage data engineering projects, from planning and execution to delivery, ensuring they meet timelines, budgets, and quality standards.
- Data Governance: Establish and enforce data governance policies and standards to ensure data quality, security, and compliance.
- Innovation: Foster a culture of innovation by exploring new data technologies and techniques to drive competitive advantage.
Qualifications
- Bachelor's degree in Computer Science, Data Engineering, or a related field.
- 8+ years of experience in data engineering or related roles.
- 4+ years of experience managing teams and vendors.
- Proven track record of delivering successful data engineering projects.
- Deep understanding of database design, data modeling, and ETL processes.
- Expertise in cloud platforms (e.g., Azure, AWS, GCP) and cloud-native data technologies.
- Strong organizational, problem-solving, and decision-making skills.
- Excellent communication and interpersonal skills.
- Ability to thrive in a fast-paced, dynamic environment.
Additional Considerations
- Experience with specific data engineering tools and technologies (e.g., Data Lake, Azure Data Factory, Synapse) would be a plus.
- A strong understanding of data privacy and security regulations is beneficial.
- A passion for data and a drive to extract insights to drive business outcomes is essential.
Horizontal facilitates valuable and productive conversations between you and potential employers. We can assist you in growing your career by partnering you with employers that offer challenging assignments. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The salary range for this role is $170,000 - $190,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location.
Horizontal is proud to be an Equal Opportunity and Affirmative Action Employer. We seek to provide employment opportunities to talented, qualified candidates regardless of race, color, sex/gender including gender identity and/or expression, national origin, religion, sexual orientation, disability, marital status, citizen status, veteran status, or any other protected classification under federal, state or local law.
In addition, Horizontal will provide reasonable accommodations for qualified individuals with disabilities. If you need to request a reasonable accommodation in order to complete the application or interview process, please contact us. All applicants applying must be legally authorized to work in the country of employment.
PandoLogic. Keywords: Manager of Data Engineering, Location: GOLDEN VALLEY, MN - 55405