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Ashurst Perkins Coie
5 001 – 10 000 Darbuotojai
AtitiktisTeisė
Ashurst Perkins Coie yra pasauliniu mastu integruota advokatų kontora, teikianti paslaugas technologijų, energetikos ir infrastruktūros bei finansinių paslaugų sektorių organizacijoms. Daugiau kaip 3 500 su klientais dirbančių jos specialistų darbuojasi 52 biuruose, įskaitant pagrindinius centrus Sietle, Londone, Sidnėjuje ir Niujorke. Kontora konsultuoja klientus įvairiais teisiniais ir verslo klausimais – nuo sandorių, ginčų sprendimo, reguliavimo, intelektinės nuosavybės, projektų ir nekilnojamojo turto iki technologijų, privatumo, kibernetinio saugumo ir rizikos valdymo. Jos paslaugos taip pat apima pažangius teisinių paslaugų sprendimus, tokius kaip skaitmeninės teisinės paslaugos, valdomosios teisinės paslaugos ir „NewLaw“, taip pat sektoriui skirtas įžvalgas apie tokias raidos kryptis kaip dirbtinis intelektas ir duomenų centrai.

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.

Aprašymas

  • 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.

Reikalavimai

  • 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.

Privalumai

  • 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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