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# Senior Manager, Data Engineering

- **Company:** Perkins Coie LLP
- **Location:** Phoenix, AZ, United States
- **Experience:** Expert
- **Salary:** $146,740 - $266,200
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Cloud Computing, Databases, Data as a Services, Information Engineering, Extract Transform Load (ETL), Data Structures, Data Warehousing, Database Development, Dimensional Modeling, Python (Programming Language), Power BI, Standard Sql, Microsoft Fabric, Pyspark, Kubernetes, Information Technology, Data Pipelines, Databricks
- **Published:** October 26, 2026
- **Apply:** https://diversityjobs.com/career/18710988/Manager-Software-Engineering-Arizona-Phoenix

## About the Role

* Skill in translating strategy into actionable architecture and delivery plans.
 * Experience in leading diverse, distributed teams across time zones and cultures.
 * Executive presence with the ability to simplify complex technology for senior stakeholders.
 * Advanced, working knowledge of SQL, Python, and PySpark for data engineering and automation.
 * Deep expertise in databases, ETL, data modeling, and warehousing.
 * Proficiency in Python and advanced data pipeline design.
 * Exceptional communication skill in executive presentations, reporting, and technical documentation.
 * Bachelor's degree in computer science, engineering, or related discipline. Relevant experience may be substituted for degree requirements.
 * 7+ years of progressive experience designing database solutions, both on-premises and cloud-based, including experience supporting multiple geographic regions.
 * 5+ years of progressive experience connecting to APIs and troubleshooting data connectivity issues.
 * 3+ more years of experience managing people managers or team leads, ideally across multiple offices or regions.

Preferred Qualifications

 * Expertise in managing and designing Databricks in an enterprise environment.
 * Expertise in designing relational and dimensional models.
 * Deep understanding of deploying data services on the Microsoft Azure cloud.
 * Working knowledge of applying Elite 3E data structures in an analytical context.
 * Working knowledge of Power BI data pipelines, semantic models and Microsoft Fabric.
 * Working knowledge of agentic AI orchestration platforms and management practices.

## Description

In this role, the Senior Manager leads global engineering teams to deliver scalable engineering practices and trusted dimensional data models powering reporting, analytics, AI, and enterprise data products. They champion a secure, high-performing, reliable, and future-ready data platform while partnering with business and technology leaders to align strategy, drive investment, standardize best practices, and foster continuous innovation.
What You'll Do

 * Define and drive the Firm's global data engineering strategy, architecture, and roadmap.
 * Lead, mentor, and empower high-performing global engineering teams.
 * Champion hands-on technical excellence across Databricks, dimensional modeling, pipelines, orchestration, and integration.
 * Build trusted dimensional models, curated datasets, and enterprise data products.
 * Establish reusable engineering standards that elevate scalability, reliability, and consistency.
 * Optimize platform performance, resilience, maintainability, and cost.
 * Serve as the technical authority for complex architecture, integration, and production challenges.
 * Orchestrate cross-regional teams, fostering collaboration and effective global delivery.
 * Drive adoption of modern tools, standards, and engineering practices.
 * Accelerate data onboarding and integration from diverse internal and external sources.