Senior Manager, Data Engineering

Senior Manager, Data Engineering Drive Operational Excellence. At Ashurst Perkins Coie US LLP , our people are our greatest asset. We're looking for a collaborative, detail-oriented Senior Manager, Data Engineering to join our team and help deliver exceptional results for our clients. 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. What You'll Bring Strategic thinking that aligns global data engineering with business priorities. Proven leadership and mentorship of technical teams and managers across regions. 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. Why Join Ashurst Perkins Coie? Join a collaborative, high-performing Software Engineering team where your expertise will help shape the employee experience across our global organization. If you are passionate about delivering exceptional service and making a lasting impact, you will find meaningful opportunities to grow your career while helping create an outstanding experience for our people. This position is eligible for an annual discretionary bonus, 401(k) plan, medical, dental, and vision insurance, accrued paid time-off plan starting at 20 days annually, personal medical and parental leave, up to 10 paid holidays, and family care benefits. This position may be filled in the following locations. The listed compensation range reflects the typical pay for this role, though it is rare for new hires to receive an offer at the top of the range. Actual compensation may vary depending on experience, skills, market conditions, and internal equity. Colorado compensation range: $146,740 to $233,660 annually. Illinois compensation range: $154,870 to $246,600 annually. Washington state compensation range: $154,790 to $246,480 annually. Washington, D.C., compensation range: $167,170 to $266,200 annually. This job is Hybrid. This position is not eligible for immigration sponsorship. Candidates must be legally authorized to work in the United States without employer sponsorship now or in the future. #J-18808-Ljbffr