Data Engineering Manager

ABOUT THE ROLE…

The Data Engineering Manager is responsible for leading and growing the Data Engineering team, overseeing the design, development, and maintenance of scalable, secure, and reliable data pipelines and platforms. This role balances strategic planning with hands-on technical guidance, ensuring that data solutions align with business goals, support analytics initiatives, and empower decision-making across the enterprise.

The ideal candidate combines strong technical expertise with proven leadership experience, fostering a collaborative environment where engineers thrive and business partners receive timely, high-quality data solutions.

WHAT WILL YOU BE RESPONSIBLE FOR?

Team Leadership & Development – Manage, mentor, and grow a team of data engineers. Provide guidance, coaching, and professional development to ensure technical excellence and career progression.
Strategic Planning – Define the vision, strategy, and roadmap for data engineering initiatives in alignment with business objectives. Advocate for modern data technologies and practices to improve scalability, cost efficiency, and automation.
Data Infrastructure Ownership – Oversee the design and optimization of enterprise-wide data pipelines and platforms to support analytics, reporting, and operational systems.
Collaboration with Stakeholders – Partner with business leaders, analysts, and data engineers to translate requirements into technical solutions. Ensure alignment between business priorities and data engineering deliverables.
Data Governance & Quality – Establish and enforce data standards, processes, and governance practices. Proactively monitor and improve data integrity, accuracy, and reliability.
Project & Delivery Management – Manage workload using tools like Jira, ensuring that projects are estimated accurately, delivered on time, and documented thoroughly.
Architecture & Innovation – Provide architectural oversight for data systems, encourage innovation, and lead adoption of best practices in cloud platforms, ELT/ETL processes, and real-time data integration.
Cross-Functional Leadership – Act as a bridge between technical teams and business units, ensuring seamless communication and delivery of impactful solutions.

REQUIRED SKILLS…

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent work experience.
7+ years of experience in data engineering, with at least 2+ years in a leadership or managerial role.
Strong background in building and maintaining ETL/ELT pipelines using SQL and Python (experience with both preferred).
Experience with cloud-based data platforms and modern data architectures (e.g., Snowflake, Redshift, BigQuery, or equivalent).
Solid understanding of relational databases, data modeling, and enterprise data warehouse concepts.
Proven track record of managing large-scale customer and inventory datasets, preferably in retail or ecommerce.
Familiarity with data governance, compliance, and security best practices.
Excellent communication, organizational, and stakeholder management skills.
Demonstrated ability to lead teams through complex projects while maintaining focus on business outcomes.

WHAT IS ON OFFER?

As a colleague at Scandinavian Tobacco Group, you will receive a comprehensive compensation package as a generous benefits package.

• Comprehensive Health Care, Vision & Dental Plan

• Flexible Spending Account

• Disability Plans

• Basic & Supplemental Life Insurance

• Additional Supplemental Benefits

• Paid Vacation, Paid Time Off (PTO) days, Holidays

• 401(k) Retirement Saving Plan including a generous Company match

Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.e-verify.gov.

*Please be informed that this Direct Search is conducted exclusively by the Scandinavian Tobacco Group. We do not accept applications from agencies, and we will not provide compensation for unsolicited CVs.

**This position does not offer Visa sponsorship. Candidates must have valid work authorization in the United States and only qualified candidates will be contacted.