About The Position

Ready to be a Titan? We're looking for an experienced Engineering Manager to join our Data & Reporting Platform team. In this role, you'll own the technical direction and day-to-day execution of a team building the data infrastructure that powers the enterprise. You'll balance hands-on architectural guidance with people leadership — helping engineers grow while ensuring the platform is reliable, scalable, and aligned to business needs.

Requirements

  • Experience: 8+ years in data or software engineering, with 2+ years managing engineering teams of 5 or more.
  • Architectural Depth: Proven experience designing complex data systems, with specific expertise in Semantic Layering and Data Sharing at enterprise scale.
  • Modern Tooling: Deep, hands-on experience with dbt and semantic models (eg MetricFlow) — including designing and scaling semantic models in production. Strong proficiency with Snowflake and SQL.
  • Operational Rigor: Experience owning on-call processes, managing incidents, and defining operational metrics that drive team accountability.
  • Engineering Standards: Solid command of CI/CD practices (e.g., GitHub Actions) and data observability tooling such as DataDog or Monte Carlo.
  • Communication: Strong written and verbal communication skills. Able to align cross-functional stakeholders, articulate technical trade-offs, and influence architectural direction without direct authority.

Nice To Haves

  • Experience with Spark, Python, and Snowpark is a plus.
  • Hands-on experience with technologies such as Cursor, Claude CLI/Code, Kibana, and Airflow.

Responsibilities

  • Lead and Mentor: Manage and grow a team of 5+ data engineers. Set clear expectations, provide regular feedback, and invest in career development. Build a team culture rooted in ownership, craftsmanship, and psychological safety.
  • Architectural Leadership: Drive architectural decisions across the platform, with particular depth in Data Sharing and Semantic Layer design. Ensure systems are built for high availability, scalability, and security.
  • Technical Excellence: Guide the team through complex technical challenges, including Semantic Modeling, data mesh patterns, and platform reliability. Hold a high bar for code quality, testing, and observability.
  • Performance Optimization: Lead efforts to improve query performance and platform efficiency so that data consumers across the organization can access what they need quickly and reliably.
  • Strategic Execution: Collaborate with product managers and architects to define and deliver the data platform roadmap. Translate business requirements into technical priorities and communicate trade-offs clearly.
  • Operational Health: Own the operational posture of the platform — monitoring, alerting, incident response, and on-call rotation management. Establish and report on team-level operational metrics.
  • Governance & Process: Define engineering best practices and champion shift-left data governance, including data quality, lineage, and access control.

Benefits

  • Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more.
  • Holistic health and wellness benefits: Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to One Medical.
  • Support for Titans at all stages of life: Parental leave and support, up to $20k in fertility services (i.e. IUI and IVF), surrogacy, and adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service