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. Responsibilities 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. Qualifications 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 for Panorama Office site; Monday, Friday-work from home. Benefits 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 And more! Compensation $102,900.00 - $174,240.00 (actual compensation may vary by location, experience, education, and skill level; base pay and target incentive finalized at offer). Location US-CO-Denver, Colorado (Panorama Arrow Building) Employment 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) #J-18808-Ljbffr Arrow Components