Sr. Manager, Data Engineering

Vuori, Inc•Carlsbad, CA

3h•$146,100 - $206,010•Remote

About The Position

We're looking for a Senior Manager, Data Engineering to lead and grow our data engineering team while staying close enough to the technical work to guide architecture and unblock the team. You'll own the roadmap and delivery for our data ingestion and pipeline infrastructure — from raw ingestion of heterogeneous sources through staging and curated layers — and be accountable for the people, priorities, and technical direction that make that work possible. You'll partner closely with data modeling, analytics, and product leadership to make sure the team is solving the right problems.

Requirements

Experience managing and growing a team of data engineers, including hiring, coaching, and performance management
Strong hands-on background in data engineering — pipeline design, ingestion patterns, and cloud data warehousing (Azure Data Factory and Snowflake experience preferred)
Experience setting technical roadmaps and prioritizing across competing initiatives and stakeholders
Strong communication and stakeholder management skills, with experience partnering with analytics, product, and business leadership
8+ years of experience in data engineering or a related field, including experience in a formal people-management role
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent years of experience preferred

Nice To Haves

Experience scaling a data engineering team through significant growth
Familiarity with dbt, infrastructure-as-code (Terraform, ARM/Bicep), and broader CI/CD practices
Experience managing vendor relationships or tooling budgets
Exposure to real-time analytics or streaming technologies

Responsibilities

Lead and grow a team of data engineers — hiring, mentoring, career development, and performance management
Set the technical roadmap and strategy for data ingestion and pipeline architecture, ensuring it aligns with broader data platform goals
Partner with data modeling, analytics, and product leadership to prioritize the data engineering roadmap based on business needs
Work closely with the data modeling function to ensure pipeline output aligns with downstream semantic and dimensional models, resolving handoff issues between raw ingestion and curated, analytics-ready data
Own team processes and engineering rigor: sprint planning, code review standards, on-call/incident response, and testing practices
Act as an escalation point for complex technical and architectural decisions across pipeline design, ingestion patterns, and system reliability
Represent data engineering in cross-functional planning and leadership discussions, translating technical tradeoffs into business terms
Manage team capacity and workload across active projects, balancing new feature work against technical debt and reliability
Stay hands-on enough with the underlying technology (Azure Data Factory, Snowflake, API/file ingestion patterns) to make credible architecture calls and coach the team through hard problems