Position:
Manager – Data & Analytics Engineering
Job Description:
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.
This role manages a cross-functional team of data engineers, analytics engineers, and BI developers responsible for building and operating the company’s modern data platform. The role also oversees development of the organization’s enterprise analytics and semantic data layer, ensuring consistent business definitions and trusted metrics across reporting, analytics, and data science solutions.
This position focuses on guiding architecture decisions, establishing engineering standards, and ensuring reliable delivery and operational support of data and analytics solutions. It requires sufficient technical depth to guide architecture and engineering practices, while primarily focusing on team leadership and delivery management rather than hands-on development.
What You'll Be Doing:
Data Platform & Engineering Leadership
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.
Analytics Engineering & Data Modeling
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.
Business Intelligence & Reporting
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.
Production Support & Operational Reliability
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.
Business Partnership & Delivery
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.
Leadership & Team Development
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.
What We Are Looking For:
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, Thursdayrequiredoffice days for Panorama Officesite;Monday, Friday-work from home.
At Arrow, we recognize that financial rewards and great benefits are important aspects of an ideal job.That’swhy we offer competitive financial compensation, including various compensation plans and a solid benefits package.
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(includingsick, 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, FreeforUse to All Employees!
Bike Racks
And more!
Areyoubeing referredto one of our roles? If so, ask your connection at Arrow about our Employee Referral Process!
Annual Hiring Range/Hourly Rate:
$102,900.00 - $174,240.00
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
EEO Statement:
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)
All Arrow job postings are for existing job vacancies. We anticipate this requisition will be open for a minimum of five days, though it may be open for a longer period of time. We encourage your prompt application.
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
