Senior Analytics Engineer

Alloy • New York City, NY

6d • Hybrid

About The Position

The Data Platform team sits within Alloy's Intelligence vertical and owns the infrastructure that powers how data is modeled, governed, and delivered — both internally and to customers. We work at the intersection of data engineering and analytical depth, with a stack built around dbt, Snowflake, and Artie, and a growing investment in our semantic layer. This is an early but high-leverage moment for Analytics Engineering at Alloy. We have the tooling, the data, and the leadership experience to build this function the right way — and this role is central to that effort. The person who joins will help establish the patterns, standards, and culture of Analytics Engineering here. The strategic stakes are real: native warehouse data delivery is becoming a core part of how we serve customers, agentic workflows depend on a well-maintained semantic layer, and OLAP infrastructure is increasingly woven into our product stack. Analytics Engineering sits at the center of all three. Alloy operates in a hybrid-work environment. We look to foster collaboration and community by having our local employees onsite three days a week.

Requirements

• 5+ years of experience in analytics engineering, data engineering, or a closely related role, with a strong command of dbt and SQL.
• Hands-on experience with Snowflake or a comparable cloud data warehouse, including performance tuning and warehouse design.
• Experience building or maintaining a semantic layer or metrics layer (e.g., dbt Semantic Layer, MetricFlow, or similar).
• A strong sense of data modeling fundamentals. You have opinions about when to denormalize, how to handle slowly changing dimensions, and what makes a model trustworthy.
• Familiarity with data ingestion and CDC tooling; experience with Artie or similar streaming/replication tools is a plus.
• The ability to partner effectively with Data Science, Engineering, and Product. You translate between technical and non-technical stakeholders without losing precision.
• Experience establishing standards: testing frameworks, documentation practices, naming conventions, and review processes that teams actually follow.
• Comfort working in an environment where the function is still being shaped—you see that as opportunity, not ambiguity.
• Someone who embodies our shared Alloy values: be bold, get scrappy, collaborate, and celebrate our differences.
• Must be local to New York City; hybrid work with Tuesday-Thursday in-office at our Union Square HQ.

Nice To Haves

• Experience with native warehouse data delivery or data sharing patterns (e.g., Snowflake Data Sharing, Marketplace).
• Background in fintech, financial services, or a similarly data-intensive regulated industry.
• Exposure to agentic or LLM-based workflows and the data infrastructure that supports them.
• Experience with BI tooling (e.g., Looker, Tableau) and how semantic layer investments connect to the presentation layer.

Responsibilities

• Design and build robust dbt models that serve as the authoritative foundation for analytics, machine learning features, and customer-facing data products.
• Own and evolve our semantic layer defining metrics, dimensions, and business logic in a way that supports both internal consumers and emerging agentic tooling.
• Partner with Engineering and Data Science to ensure our Snowflake data warehouse is well-structured, performant, and aligned with product needs.
• Establish and champion best practices for data modeling, testing, documentation, and code review across the team.
• Collaborate with client-facing and product teams to scope and deliver native warehouse data delivery to customers.
• Identify and address data quality issues proactively, building the observability and governance frameworks that keep data trustworthy at scale.
• Influence how Analytics Engineering is practiced at Alloy—this is a greenfield opportunity to set the standard.

Benefits

• Unlimited PTO and flexible work policy
• Employee stock options
• Medical, dental, vision plans with HSA (monthly employer contribution) and FSA options
• 401k 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 annual stipend
• Well-being benefits include access to ClassPass, OneMedical, UrbanSitter, and Spring Health

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed