Engineering Manager, Data
Role Overview
The Engineering Manager, Data joins the Engineering team to build reliable data pipelines and deliver reporting and analytics.
The role guides the Data team's people and technical strategy and collaborates with Product Management, Design, Customer Success, and engineering teams.
Key Skills for This Role
Full Job Posting
About commonsku
commonsku provides a platform for branded-merchandise distributors to manage projects, quotes, orders, and collaboration with clients and suppliers.
The company describes itself as remote-first and community-driven.
About the role
The Engineering Manager, Data joins the Engineering team to build reliable data pipelines and deliver reporting and analytics.
The role guides the Data team's people and technical strategy and collaborates with Product Management, Design, Customer Success, and engineering teams.
What you'll do
- Own the Data team's roadmap with Product Management and business partners, setting priorities, clarifying requirements, and delivering long-term initiatives.
- Scope complex cross-functional projects into clear milestones aligned with 12–18 month platform needs.
- Lead, mentor, and support data engineers and analysts through regular one-to-ones, actionable feedback, and career growth.
- Set standards for data quality, reliability, documentation, and observability across pipelines and reporting.
- Review designs and guide technical direction, setting guardrails for data privacy, accuracy, and security.
- Champion agile practices and explore responsible AI-tool adoption for pipelines, analysis, reporting, and documentation.
- Communicate technical trade-offs, progress, and risks to technical and non-technical stakeholders.
What you bring
- At least 7 years of hands-on data engineering or analytics experience and at least 2 years leading engineering teams.
- Technical foundation in SQL, data modeling, data pipelines, and reporting tools.
- Experience with roadmap planning, project scoping, and cross-functional stakeholder management.
- Strong written and verbal communication, including explaining technical concepts to non-technical partners.
- Ability to work independently and asynchronously while collaborating with others.
- Experience with AI, or enthusiasm for applying AI tools safely and effectively to data workflows.
- Familiarity with SaaS data architectures, Snowflake, or the promotional products industry is a bonus.
Compensation
- The posting states a starting salary of $150,000–$170,000 depending on experience and skillset, plus an opportunity for a 5% annual bonus.
- New hires are expected to start at the midpoint of the range; the provided description ends before the compensation section is complete.
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