Manager, Software Engineering

Ashurst Perkins Coie•Seattle, WA

1d•Hybrid

About The Position

Ashurst Perkins Coie US LLP is seeking a collaborative, detail-oriented Senior Manager, Software Engineering to lead global engineering teams and deliver scalable engineering practices and trusted dimensional data models that power reporting, analytics, AI, and enterprise data products. The role champions a secure, high-performing, reliable, and future-ready data platform, partnering with business and technology leaders to align strategy, drive investment, standardize best practices, and foster continuous innovation. The Senior Manager will define the Firm’s global data engineering strategy, architecture, and roadmap; lead and mentor global engineering teams; and provide hands-on technical leadership across Databricks, dimensional modeling, pipelines, orchestration, and integration. The role builds trusted models, curated datasets, and enterprise data products, establishes reusable engineering standards, optimizes platform performance and cost, and serves as the technical authority for complex architecture, integration, and production challenges. This position is hybrid and is eligible for an annual discretionary bonus and a range of health, retirement, leave, and family care benefits. Applications are accepted through November 13, 2026.

Requirements

Strategic thinking that aligns global data engineering with business priorities.
Proven leadership and mentorship of technical teams and managers across regions.
Ability to translate strategy into actionable architecture and delivery plans.
Experience leading diverse, distributed teams across time zones and cultures.
Executive presence and 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 skills in executive presentations, reporting, and technical documentation.
Bachelor’s degree in computer science, engineering, or a 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 support for multiple geographic regions.
5+ years of progressive experience connecting to APIs and troubleshooting data connectivity issues.
3+ years of experience managing people managers or team leads, ideally across multiple offices or regions.
Must be legally authorized to work in the United States without employer sponsorship now or in the future.

Nice To Haves

Expertise in managing and designing Databricks in an enterprise environment.
Expertise in designing relational and dimensional models.
Deep understanding of deploying data services on 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.

Responsibilities

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 to improve 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.