Global Data Platform & Engineering Lead

Perkins Coie LLP; Washington (District of Columbia); Hybrid; USD 167,000 - 266,000; Full time

Benefits offered by this job

Annual discretionary bonus

401(k) plan

Medical insurance

Dental insurance

Vision insurance

Paid time off

Parental leave

Holidays

Family care benefits

Job summary

Ashurst Perkins Coie US LLP in the United States seeks a Senior Manager, Data Engineering to lead global engineering teams and deliver scalable data platforms powering reporting, analytics, AI, and enterprise data products.

The role emphasizes architecture, standards, performance, and cost optimization, partnering with business and technology leaders to align strategy and investments. Hybrid work model, with competitive benefits.

Qualifications

• Bachelor's degree or related experience.
• 7+ years designing database solutions across on-prem and cloud.
• 5+ years leading distributed teams across regions.
• Advanced SQL, Python, and PySpark proficiency.
• Experience with APIs and data connectivity.

Responsibilities

• Define and drive global data engineering strategy and roadmap.
• Lead and mentor multi-region engineering teams.
• Champion engineering excellence across pipelines, orchestration, and integration.
• Build dimensional models, curated datasets, and data products.
• Establish reusable standards for scalability, reliability, and cost.
• Optimize platform performance and production readiness.
• Act as technical authority for architecture and integration challenges.
• Foster cross-regional collaboration and delivery.
• Drive modern tool adoption and data onboarding.

Skills

SQL

Python

PySpark

Databricks

Data modeling

ETL

Data warehousing

APIs

Leadership

Executive communication

Education

Bachelor's degree in computer science or related field

Tools

Databricks

Power BI

Microsoft Fabric

Job description

Ashurst Perkins Coie US LLP in the United States seeks a Senior Manager, Data Engineering to lead global engineering teams and deliver scalable data platforms powering reporting, analytics, AI, and enterprise data products.

The role emphasizes architecture, standards, performance, and cost optimization, partnering with business and technology leaders to align strategy and investments. Hybrid work model, with competitive benefits.