Global Data Engineering Leader | Hybrid | Bonus & Benefits

Perkins Coie LLP; Anchorage (AK); Hybrid; USD 154,000 - 266,000; Full time

Benefits offered by this job

401(k) plan

Medical, dental, and vision insurance

Paid time off (20 days annually)

Parental leave

10 paid holidays

Family care benefits

Job summary

Ashurst Perkins Coie US LLP is seeking a Senior Manager, Data Engineering to lead global data engineering teams, build scalable data models and enterprise data products. You will define strategy, drive architecture, and champion best practices to deliver trusted data platforms for reporting, analytics, and AI.

The role requires strong leadership, executive communication, and hands-on expertise with SQL, Python, PySpark, and Databricks across cloud environments.

Qualifications

• 7+ years designing database solutions across on-prem and cloud, across regions.
• 5+ years connecting to APIs and troubleshooting data connectivity issues.
• 3+ years managing people managers or team leads across multiple offices/regions.

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 global delivery.
• Drive adoption of modern tools, standards, and engineering practices.
• Accelerate data onboarding and integration from diverse sources.

Skills

Leadership

Strategic thinking

Executive communication

Distributed teams management

Education

Bachelor's degree in CS/Engineering or related

Tools

Databricks

SQL

Python

PySpark

Power BI

Microsoft Fabric

Azure

Job description

Ashurst Perkins Coie US LLP is seeking a Senior Manager, Data Engineering to lead global data engineering teams, build scalable data models and enterprise data products. You will define strategy, drive architecture, and champion best practices to deliver trusted data platforms for reporting, analytics, and AI.

The role requires strong leadership, executive communication, and hands-on expertise with SQL, Python, PySpark, and Databricks across cloud environments.