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About the Role

Alloy solves the identity risk problem for companies offering financial products, enabling them to outpace fraud and serve more people globally. Over 800 of the world’s largest financial institutions and fintechs rely on Alloy to manage fraud, credit, and compliance risk while gaining a clearer customer picture. We foster a workplace where employees can grow, thrive, and belong, recognized for our values and continuous industry accolades.

Responsibilities

Design and build robust dbt models to serve as the authoritative foundation for analytics, machine learning features, and customer-facing data products.
Own and evolve the semantic layer, defining metrics, dimensions, and business logic for internal consumers and emerging agentic tooling.
Partner with Engineering and Data Science to ensure the 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 observability and governance frameworks for trustworthy data at scale.
Influence the practice of Analytics Engineering at Alloy, setting standards in a greenfield opportunity.

Requirements

5+ years of experience in analytics engineering, data engineering, or a closely related role.
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).
Strong understanding of data modeling fundamentals, including denormalization, handling slowly changing dimensions, and ensuring model trustworthiness.
Ability to partner effectively with Data Science, Engineering, and Product, translating between technical and non-technical stakeholders.
Experience establishing standards for testing frameworks, documentation practices, naming conventions, and review processes.
Comfort working in an environment where the function is still being shaped.
Embody Alloy values: be bold, get scrappy, collaborate, and celebrate differences.
Must be local to New York City.

Skills

dbt
SQL
Snowflake
Cloud data warehouse
Performance tuning
Warehouse design
Semantic layer
Metrics layer
Data modeling
Data ingestion
CDC tooling
Artie
Streaming tools
Replication tools
Data sharing patterns
BI tooling

Location

New York City
Union Square HQ

Work Type

Hybrid
Onsite (3 days/week)

Experience Level

Senior

Salary/Compensations

$198,000 - $250,000

Benefits

Unlimited PTO and flexible work policy
Employee stock options
Medical, dental, vision plans with HSA and FSA options
401k with 100% match up to 4%
16 weeks of paid parental leave
Home office stipend
Annual Learning & Development stipend
Well-being benefits (ClassPass, OneMedical, UrbanSitter, Spring Health)
Catered lunches
Employee-organized cultural events

About the Company

Alloy helps solve the identity risk problem for companies that offer financial products by enabling them to outpace fraud and confidently serve more people around the world.
Over 800 of the world’s largest financial institutions and fintechs turn to Alloy to take control of fraud, credit, and compliance risk, and grow with the clearest picture of their customers.
Through our values: Be Bold, Go Fast, Collaborate, and Celebrate Our Differences, we are creating a workplace where you can grow, thrive, and belong.
Continuously recognized and named one of Inc. Magazine’s Best Workplaces, Forbes America’s Best Startup Employers, Best Fintech to Work for by American Banker, year after year.
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.
We're a lean team, so your impact will be felt immediately, and opportunities will grow as the company scales up.

Equal Opportunity

Alloy is proud to be an equal-opportunity workplace and employer.
We’re committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.
We are committed to an inclusive interview experience and provide reasonable accommodations to applicants with visible and invisible disabilities.
We encourage applicants to share needed accommodations with their recruiter.
All Alloy jobs are listed on our careers page.
Any communication during the recruitment process, including interview requests or job offers, will come directly from a recruiting team member with an alloy.com email address.
We do not use outside applications or automated text messaging in our recruiting process.
We will not ask for any sensitive financial or identification information during the recruiting process.
If you’re ever unsure, please contact us directly via our website before sharing personal information.