Global Data Engineering Lead - Hybrid, AI & Analytics

Perkins Coie LLP; Bellevue (WA); Hybrid; USD 155,000 - 246,000; Full time

Benefits offered by this job

Annual discretionary bonus

401(k) plan

Medical, dental, and vision insurance

Accrued paid time-off 20 days annually

Parental leave and family care

Job summary

Ashurst Perkins Coie US LLP seeks a Senior Manager, Data Engineering to lead global teams delivering scalable data platforms powering reporting, analytics, AI, and enterprise data products.

You will shape strategy, mentor engineers across regions, and drive best practices in Databricks, data modeling, pipelines, and Azure cloud services. This hybrid role offers a competitive package and benefits.

Qualifications

• Bachelor's degree in CS/Engineering or related field.
• 7+ years designing database solutions across on-prem and cloud.
• Experience leading distributed global teams across time zones.
• Strong SQL, Python and PySpark for data engineering and automation.

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 and enterprise data products.
• Establish reusable engineering standards for scalability and reliability.
• Optimize platform performance, resilience, and cost.
• Serve as technical authority for complex architecture and production challenges.
• Orchestrate cross-regional teams for global delivery.
• Drive adoption of modern tools, standards, and practices.
• Accelerate data onboarding from diverse sources.

Skills

Databricks

Dimensional modeling

SQL

Python

PySpark

APIs

Leadership

Executive communication

Cloud platforms

Data engineering

Education

Bachelor's degree in computer science, engineering, or related discipline

Tools

Databricks

Power BI

Azure

Microsoft Fabric

Elite 3E data structures

Job description

Ashurst Perkins Coie US LLP seeks a Senior Manager, Data Engineering to lead global teams delivering scalable data platforms powering reporting, analytics, AI, and enterprise data products.

You will shape strategy, mentor engineers across regions, and drive best practices in Databricks, data modeling, pipelines, and Azure cloud services. This hybrid role offers a competitive package and benefits.