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Manager, Software Engineering
Ashurst Perkins CoieCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining and executing global data engineering strategies, with a strong focus on architecture, dimensional modeling, and data integration. Proven ability to lead and mentor diverse technical teams while optimizing performance and fostering collaboration across regions.
Highest-signal resume keywords
Data Engineering StrategyLeadership and MentorshipSQL and Python ProficiencyDatabricks ExpertiseData Modeling and Warehousing
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- 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 for scalability, reliability, and consistency
- Optimize platform performance, resilience, maintainability, and cost
- Serve as technical authority for complex architecture, integration, and production challenges
- Orchestrate cross-regional teams and foster 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
Requirements
What you’ll need- Strategic thinking that aligns global data engineering with business priorities
- Proven leadership and mentorship of technical teams and managers across regions
- Skill in translating strategy into actionable architecture and delivery plans
- Experience leading diverse, distributed teams across time zones and cultures
- Executive presence with the ability to simplify complex technology for senior stakeholders
- 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 in executive presentations, reporting, and technical documentation
- Bachelor’s degree in computer science, engineering, or related discipline; relevant experience may be substituted
- 7+ years of progressive experience designing database solutions, on-premises and cloud-based, supporting multiple geographic regions
- 5+ years of progressive experience connecting to APIs and troubleshooting data connectivity issues
- 3+ years of experience managing people managers or team leads, ideally across multiple offices or regions
- Expertise in managing and designing Databricks in an enterprise environment
- Expertise in 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
- Candidates must be legally authorized to work in the United States without employer sponsorship now or in the future
- No immigration sponsorship is available
Benefits
Comp & perks- Annual discretionary bonus
- 401(k) plan
- Medical insurance
- Dental insurance
- Vision insurance
- Accrued paid-time-off plan starting at 20 days annually
- Personal medical leave
- Parental leave
- Up to 10 paid holidays
- Family care benefits
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonPySparkETLData ModelingData WarehousingAPI ConnectivityData Pipeline DesignDimensional ModelingMicrosoft Azure
Soft Skills
Strategic ThinkingExceptional CommunicationExecutive PresenceCollaborationMentoring
Tools & Technologies
DatabricksPower BIMicrosoft FabricAgentic AI Orchestration PlatformsElite 3E Data Structures
Industry Keywords
Data EngineeringGlobal DeliveryCross-Regional TeamsTechnical AuthorityData Integration