Hybrid Senior Manager, Data Engineering & Architecture

Perkins Coie LLP; Dallas (TX); Hybride; USD 170 000 - 250 000; Plein temps

Avantages offerts par ce poste

Annual discretionary bonus

401(k) plan

Medical insurance

Dental insurance

Vision insurance

Paid time off

Parental leave

Holiday pay

Family care benefits

Résumé du poste

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

You will champion best practices in Databricks, dimensional modeling, pipelines, and integration while partnering with business and technology leaders to align strategy and investments. This role is hybrid in the United States.

Qualifications

• Bachelor's degree in computer science, engineering, or related discipline.
• 7+ years of experience designing database solutions, both on-premises and cloud-based, across multiple geographic regions.
• 5+ years of experience connecting to APIs and troubleshooting data connectivity issues.
• 3+ years managing people managers or team leads, ideally across multiple offices or regions.

Responsabilités

• Define and drive the Firm's global data engineering strategy, architecture, and roadmap.
• Lead, mentor, and empower high-performing global engineering teams.
• Champions 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 that elevate 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 effective global delivery.
• Drive adoption of modern tools, standards, and engineering practices.
• Accelerate data onboarding and integration from diverse internal and external sources.

Connaissances

SQL

Python

PySpark

Databricks

Data modeling

ETL

Data warehousing

Leadership

Mentorship

Formation

Bachelor's degree in computer science/engineering or related field

Outils

Databricks

Power BI

Description du poste

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

You will champion best practices in Databricks, dimensional modeling, pipelines, and integration while partnering with business and technology leaders to align strategy and investments. This role is hybrid in the United States.