Manager – Data & Analytics Engineering

Manager – Data & Analytics Engineering

The Manager – Data & Analytics Engineering leads teams responsible for delivering enterprise reporting, analytics, and modern data platform capabilities that enable data-driven decision-making across the organization.

• 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 supporting distribution, logistics, or supply chain analytics environments is preferred.
• 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

Work Arrangement: Hybrid:
Tuesday, Wednesday, Thursday required office days at the Panorama Office site;
Monday, Friday work from home.

• 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

$ - $

Actual compensation offer to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level. The pay ratio between base pay and target incentive (if applicable) will be finalized at offer.

Location: US-CO-Denver, Colorado (Panorama Arrow Building)

Time Type: Full time

Job Category: Information Technology

Arrow is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, gender, age, sexual orientation, gender identity, national origin, veteran or disability status. (Arrow EEO/AAP policy)