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Ashurst Perkins Coie
5,001 – 10,000 Employees
ComplianceLegal
Ashurst Perkins Coie is a globally integrated law firm serving organizations across technology, energy and infrastructure, and financial services. Its team of more than 3,500 client-facing practitioners works across 52 offices, including major hubs in Seattle, London, Sydney, and New York. The firm advises clients on a broad range of legal and business matters, from transactions, litigation, regulatory work, intellectual property, projects, and real estate to technology, privacy, cybersecurity, and risk. Its offering also includes advanced legal solutions such as digital legal services, legal managed services, NewLaw, and sector-focused insight on developments including artificial intelligence and data centers.
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Manager, Software Engineering (Data Engineering)

Lead global data engineering strategy and distributed teams for Ashurst Perkins Coie US LLP. Build secure data platforms, trusted models and enterprise analytics products.

USUnited StatesAKAlaskaAZArizonaCOColoradoIDIdahoILIllinoisOROregonTXTexasWAWashington
$146,740 – $266,200 / year
HybridFull-timeSeniorLeadEnglish RequiredEngineering Manager
AzureCloudETLPySparkPythonSQL

Description

  • Set the firm’s global data engineering strategy, architecture and roadmap.
  • Lead, mentor and support high-performing engineering teams across regions.
  • Guide hands-on engineering across Databricks, dimensional modeling, pipelines, orchestration and integration.
  • Develop trusted dimensional models, curated datasets and enterprise data products.
  • Create reusable engineering standards for scale, reliability and consistency.
  • Improve platform performance, resilience, maintainability and cost efficiency.
  • Provide technical direction on complex architecture, integration and production issues.
  • Coordinate teams across regions to strengthen collaboration and delivery.
  • Promote adoption of modern tools, standards and engineering practices.
  • Speed data onboarding and integration from varied internal and external sources.

Requirements

  • Think strategically and align global data engineering with business priorities.
  • Demonstrated ability to lead and mentor technical teams and managers across regions.
  • Translate strategy into actionable architecture and delivery plans.
  • Experience leading diverse, distributed teams across time zones and cultures.
  • Communicate complex technology clearly to senior stakeholders with executive presence.
  • Advanced working knowledge of SQL, Python and PySpark.
  • Deep expertise in databases, ETL, data modeling and warehousing.
  • Proficiency in Python and advanced data pipeline design.
  • Exceptional communication skills for executive presentations, reporting and technical documentation.
  • Bachelor’s degree in computer science, engineering or a related discipline; relevant experience may substitute.
  • At least 7 years of progressive experience designing on-premises and cloud database solutions that support multiple geographic regions.
  • At least 5 years of progressive experience connecting to APIs and troubleshooting data connectivity issues.
  • At least 3 years managing people managers or team leads, ideally across multiple offices or regions.
  • Expertise managing and designing Databricks in an enterprise environment.
  • Expertise designing relational and dimensional models.
  • Deep understanding of deploying data services on Microsoft Azure.
  • Working knowledge of 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.
  • Must be legally authorized to work in the United States without current or future employer sponsorship.
  • Immigration sponsorship is unavailable.

Benefits

  • Annual discretionary bonus.
  • 401(k) plan.
  • Medical insurance.
  • Dental insurance.
  • Vision insurance.
  • Accrued paid time off, starting at 20 days annually.
  • Personal medical leave.
  • Parental leave.
  • Up to 10 paid holidays.
  • Family care benefits.

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