Engineering Manager, Data Platform
About The Position
The Engineering Manager, Data Platform will manage Alloy’s Data Platform team within the Intelligence vertical, overseeing infrastructure used to model, govern, and deliver data internally and to customers. This is a player-coach role, with roughly half of the time devoted to hands-on platform work and half to team leadership. The manager will lead a team of two engineers, set its direction, develop team members, and hire as the team grows. The role owns the data platform end to end, including ingestion and change data capture, the Snowflake warehouse, dbt and the semantic layer, and tools used for internal and customer-facing analytics. The manager will help establish Analytics Engineering patterns, standards, and culture; deliver native warehouse data sharing into customers’ environments; and design protections for sensitive customer data across analytics and BI. The role also partners with Product, Compliance, and engineering teams to determine what data is exposed and under what constraints.
Requirements
- Wants both the hands-on building and team leadership aspects of the role.
- Deep analytics engineering and data systems experience, including strong SQL, dbt, and experience with a cloud data warehouse; Snowflake is preferred.
- Strong data modeling knowledge, including grain, slowly changing dimensions, and what makes a model trustworthy.
- Experience owning architecture from ingestion through the warehouse to delivery, including ingestion and change data capture tools and their failure modes, such as late-arriving data, schema drift, and out-of-order events.
- A record of leading people, setting direction, developing others, giving difficult feedback, and raising a team’s standards; formal management experience is not required.
- Good judgment in sequencing work and explaining prioritization decisions.
- Experience getting other teams to adopt something built or agreeing on constraints with a function that had reasons to resist, while maintaining the relationship.
- Based in the New York City area and able to work from the Union Square office Tuesday through Thursday.
Nice To Haves
- Experience with native warehouse data delivery, such as Snowflake Data Sharing or Marketplace.
- Background in fintech, financial services, or another regulated industry, especially handling PII in analytics.
- Experience building a semantic or metrics layer and connecting it to BI tools.
- Exposure to agentic or LLM-based workflows and the data infrastructure behind them.
Responsibilities
- Lead a team of two engineers, set direction, conduct one-on-ones and performance reviews, provide direct feedback, and coach each person.
- Hire as the team grows by defining roles, running interview loops, and making hiring decisions.
- Own the data platform end to end, including ingestion and change data capture, the Snowflake warehouse, dbt and the semantic layer, and analytics tooling.
- Ship native warehouse data sharing into customers’ environments, including schema contracts customers can rely on.
- Design how sensitive customer data is handled across analytics and BI to protect customer data while meeting teams’ information needs.
- Set and uphold technical standards for modeling, testing, documentation, and code review, including through personal contributions.
- Work with Product, Compliance, and other engineering teams to decide what data is exposed, to whom, and under what constraints.
- Help establish the patterns, standards, and culture of Analytics Engineering at Alloy.
Benefits
- Unlimited PTO and flexible work policy.
- Employee stock options.
- Medical, dental, and vision plans with HSA (including a monthly employer contribution) and FSA options.
- 401(k) with 100% match up to 4% of annual employee compensation.
- Eligible new parents receive 16 weeks of paid parental leave.
- Home office stipend for new employees.
- Annual Learning & Development stipend.
- Well-being benefits, including access to ClassPass, OneMedical, UrbanSitter, and Spring Health.
- Hybrid work environment with catered lunches and employee-organized cultural events.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
