Data Engineering Manager

We are seeking a Data Engineering Manager to lead a growing team responsible for building and evolving the organization’s modern data ecosystem. This role offers a unique opportunity to combine people leadership, technical strategy, architecture, and hands on engineering while partnering closely with senior leadership on high impact initiatives.

The Data Engineering Manager will oversee a team of Data and Platform Engineers while remaining actively involved in data engineering efforts, architecture decisions, and platform development. This individual will play a key role in advancing the organization’s Snowflake journey, maturing data engineering practices, and driving the delivery of scalable, analytics ready solutions that support enterprise decision making., * Lead, mentor, and develop a team of Data Engineers and Platform Engineers while fostering a high performing and collaborative culture

• Participate in hiring, onboarding, performance management, coaching, and career development activities
• Design, build, and optimize enterprise data pipelines, data warehouses, and modern data architectures
• Provide technical leadership and architectural guidance across data engineering initiatives
• Develop and support dimensional models, business data models, and analytics ready datasets
• Establish and enforce best practices related to data quality, governance, lineage, and engineering standards
• Create and maintain source to target mappings and oversee enterprise data integration efforts
• Partner with business leaders and technology stakeholders to translate requirements into scalable technical solutions
• Support the ongoing evolution of modern cloud and data platform capabilities, including Snowflake initiatives
• Contribute hands on to development, scripting, troubleshooting, and solution delivery when needed
• Drive adoption of modern engineering tools, automation, and AI assisted development practices
• Collaborate with leadership to define long term data strategy, governance frameworks, and platform roadmaps

• 7+ years of experience in Data Engineering, Data Warehousing, Data Platform Engineering, or related disciplines
• 3+ years of experience leading technical teams with direct responsibility for hiring, performance management, coaching, and team development
• Proven track record building, mentoring, and scaling high performing engineering teams
• Strong hands on experience developing end to end data pipelines and enterprise data integration solutions
• Expertise with Apache Airflow for orchestration and workflow management
• Experience with dbt and/or Coalesce for data transformation and modeling
• Deep understanding of dimensional modeling, Kimball methodology, and Data Vault 2.0 principles
• Experience designing and supporting enterprise data warehouse and data lake architectures
• Strong data architecture background with experience building scalable analytics platforms
• Experience developing source to target mappings and managing complex data integration initiatives
• Knowledge of data governance frameworks, data quality standards, lineage, and analytics best practices
• Experience balancing people leadership responsibilities with hands on technical contribution
• Strong communication and stakeholder management skills with the ability to collaborate across business and technical teams
• Experience presenting recommendations and technical strategies to department leaders and executive stakeholders
• Demonstrated ability to drive organizational maturity, process improvement, and engineering excellence
• Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field preferred
• Master’s degree is a plus

Preferred Qualifications

• Experience with Snowflake and modern cloud based data platforms
• Experience supporting enterprise reporting and analytics environments
• Knowledge of Cognos, Sigma, SQL Server, or similar enterprise data technologies
• Experience within financial services, banking, or highly regulated industries
• Exposure to Alteryx
• Experience utilizing AI enabled development tools such as Claude Code, GitHub Copilot, Cortex, or similar platforms

Pulled from the full job description

• Health insurance
• 401(k) matching
• Vision insurance
• Dental insurance
• Relocation assistance, * Lead a highly visible and strategic data engineering function during an exciting period of growth and transformation
• Influence enterprise data architecture, governance, and modernization initiatives
• Partner directly with senior business and technology leadership
• Play a key role in the organization’s Snowflake adoption and long term data strategy
• Balance leadership responsibilities with meaningful technical contribution
• Opportunity to build and shape a growing engineering team
• Competitive compensation package including comprehensive medical, dental, and vision benefits
• 401(k) with company match
• Annual performance bonus opportunity
• Potential relocation assistance for qualified candidates
• Modern headquarters location with access to employee amenities

Apply Today

If you are a hands on Data Engineering leader who enjoys building teams, developing modern data platforms, and driving enterprise data strategy, we encourage you to apply. Submit your resume and contact information to The Intersect Group today to be considered for this exciting leadership opportunity.

Pay: $125,000.00 - $145,000.00 per year

The Intersect Group is partnering with a well established organization that is making significant investments in its enterprise data platform, analytics capabilities, and cloud modernization journey. As data continues to play a critical role in business decision making, the organization is focused on building scalable, modern data solutions that empower leaders across the business. This is an opportunity to join a collaborative culture where innovation, continuous improvement, and professional growth are highly valued.