Manager – Data & Analytics Engineering

• Lead teams responsible for developing and operating the organization’s Azure-based data platform leveraging Databricks and lakehouse architecture
• Oversee development of scalable data ingestion pipelines, transformation workflows, and curated datasets using modern data engineering and analytics engineering practices
• Establish engineering standards for data pipelines, data transformations, monitoring, testing, and deployment
• Guide development of curated analytical data models and transformation frameworks
• Ensure consistent business metrics, dimensional models, and reusable datasets are developed to support reporting and analytics
• Promote development of well-documented enterprise data products that support multiple analytical use cases
• Oversee development and governance of Power BI dashboards, semantic models, and enterprise reporting solutions
• Ensure reporting assets deliver accurate and consistent insights across business functions
• Support adoption of self-service analytics capabilities while maintaining strong governance and data consistency
• Ensure ongoing production support for the data platform, data pipelines, and reporting environments
• Establish processes for incident management, issue resolution, and root cause analysis related to data and reporting issues
• Monitor data pipeline performance, reporting availability, and data quality to ensure reliable analytics delivery
• Coordinate with IT and business stakeholders to prioritize and resolve production incidents and support requests
• Partner with business leaders and SMEs to understand reporting and analytics needs
• Ensure teams effectively translate business requirements into scalable data models and reporting solutions
• Manage delivery priorities, project backlogs, and stakeholder communications
• Manage, mentor, and develop a team of data engineers, analytics engineers, and BI developers
• Foster a culture of technical excellence, collaboration, and continuous improvement
• Guide technical decision-making while ensuring teams follow established development standards and best practices

• 8+ years of experience in business intelligence, data engineering, analytics, or related technical roles
• 2–4 years managing technical teams
• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience
• Experience managing technical teams delivering data engineering, analytics, or BI solutions
• Ability to manage competing priorities and drive delivery across multiple initiatives
• Strong collaboration and stakeholder engagement skills
• Strong understanding of modern data and analytics technologies including: Azure data platform
• Databricks and lakehouse architecture
• dbt or analytics engineering frameworks
• Power BI and enterprise reporting platforms
• Data modeling and dimensional design
• ETL / ELT pipeline development

Experience supporting distribution, logistics, or supply chain analytics environments is preferred

• Medical, Dental, Vision Insurance
• 401k, With Matching Contributions
• Short-Term/Long-Term Disability Insurance
• Health Savings Account (HSA)/Health Reimbursement Account (HRA) Options
• Paid Time Off (including sick, holiday, vacation, etc.)
• Tuition Reimbursement
• Growth Opportunities
• Discounted RTD Passes, with convenient office location off RTD Light Rail (Dry Creek Exit)
• On-site Café with Catering Option for Busy Lifestyles
• 24/7/365 On-site Gym and Lockers, Free for Use to All Employees!
• Bike Racks