Software Engineer Manager – Data Engineering, EDW

Role Overview

• Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions
• Documents, reviews and ensures that all quality and change control standards are met
• Writes custom code or scripts to automate infrastructure, monitoring services, and test cases
• Works with vendors and partners for the successful implementation of critical tooling and platforms
• Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
• Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment
• Evaluates new technologies for adoption across the enterprise
• Participates in and leads review board sessions to drive consistency across the enterprise
• Fills in on product teams for engineers who are out of the office
• Fields questions from engineers, product teams, or support teams
• Monitors tools and participates in conversations to encourage collaboration across product teams
• Provides application support for software running in production
• Acts as a technical escalation point for the engineers on the team
• Provides leadership, mentoring, and coaching to Software Engineers
• Attracts, retains, and develops top talent to build a world class Software Engineering Team
• Conducts annual and mid-year reviews by reviewing individual development plans and team feedback
• Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests
• Acts as a proponent of modern software development practices
• Guides team members in strategy, alignment, analysis, and execution tasks within and across product teams
• Participates in and contributes to learning activities around modern software design and development core practices (communities of practice)
• Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations
• Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems

Requirements

• 5+ years of relevant experience in data engineering
• 2+ years of experience leading and managing engineering teams
• Bachelor's degree in computer science, data engineering, or related field (or equivalent practical experience)
• Strong expertise in cloud-based data platforms, preferably GCP / BigQuery
• Deep knowledge of SQL, data modeling, and large-scale data processing for high-volume, enterprise-scale data environments
• Experience supporting and operating data platforms with significant data volume and complexity
• Experience with data orchestration tools, CI/CD pipelines, and modern ETL processes
• Demonstrated ability to work cross-functionally and influence a wide range of stakeholders
• Exceptional leadership, communication, and people management skills
• Experience operating in fast-paced, enterprise-scale environments with complex systems
• Strong problem-solving skills, attention to detail, and the ability to quickly understand complicated systems.

Tech Stack

• BigQuery
• Cloud
• ETL
• Google Cloud Platform
• SQL

Benefits

• Health insurance
• Flexible work arrangements
• Professional development opportunities
• Retirement plans