Engineering Team Lead, Data Engineering

Quick Facts

• Role: Engineering Team Lead (Data Engineering) – Embedded Analytics
• Team: Cross-functional squad of Full Stack Application Engineers, Data Engineers, and QA Engineers

Description

Lead engineering efforts for an embedded analytics platform powering customer-facing reporting and analytics. You’ll combine hands-on development with architectural leadership and people development to evolve the system into AI-enabled business intelligence with high scale, speed, and trust. Own end-to-end delivery from discovery through post-ship monitoring.

Responsibilities

• Lead, mentor, and grow a cross-functional engineering and data team
• Own end-to-end delivery for the squad’s product area (discovery, implementation, testing, deployment, post-ship monitoring)
• Write code, review code, and architect solutions; make tradeoffs and unblock the team
• Partner with Product on technical feasibility, scope, quality, and stability
• Balance feature delivery with bugs, tech debt, performance, and reliability
• Drive architectural decision-making (innovation, scalability, delivery speed)
• Promote best practices: clean architecture, testing, monitoring, and performance optimization
• Ensure parallel execution across design, engineering, and QA
• Champion quality through design/code reviews and robust CI/CD pipelines using Docker, GitHub Actions, and Kubernetes
• Coach engineers on career growth, system design, and effective collaboration
• Drive AI and agentic coding tool adoption within the squad with Platform standards and guardrails
• Build an inclusive team culture focused on transparency, ownership, and impact
• Track performance goals and delivery metrics for operational excellence

Requirements

• 5+ years professional experience in software development and/or data engineering
• 2+ years technical leadership or management experience
• Deep understanding of SQL, data modeling, and analytics/reporting
• Experience with cloud platforms and container orchestration (Docker, Kubernetes)
• Proven ability leading technical teams and mentoring engineers
• Strong enthusiasm for AI-assisted development tools and workflows
• Excellent communication and collaboration skills
• Strategic mindset connecting engineering priorities to product and business outcomes
• Bachelor’s degree in Computer Science, Engineering, or equivalent experience

Benefits

• Flexible Paid Time Off; plus 10 company holidays
• Health benefits: Medical, Dental, Vision, and HSA match
• 401(k) match: 100% up to 3%; immediate eligibility with 100% vesting
• Mental health support via Impact Suite and Employee Assistance Program (EAP)
• Paid new parent and birthing parent leave
• Supplemental benefits: Basic Life & AD&D insurance, plus long- and short-term disability coverage
• Peer-to-peer recognition program (Nectar)
• Company events; ERG committees; fully stocked kitchen