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Alloy

Identity verification and KYC/AML compliance platform

Engineering Manager - Data Platform

Engineering LeadershipPosted on Nov 9
Full-timeNew York, NY, USA$255k - $295k

About the Job

Requirements

  • Deep analytics engineering and data systems experience, including strong SQL, dbt, and a cloud data warehouse (Snowflake preferred), with depth in data modeling, including grain, slowly changing dimensions, and model trustworthiness.
  • Experience owning architecture from ingestion through the warehouse to delivery, including ingestion and change data capture tools such as Artie or similar, and understanding failure modes including late-arriving data, schema drift, and out-of-order events.
  • A record of leading people, setting direction, intentionally developing someone, giving difficult feedback, and raising a team's standards; formal management experience is not required.
  • Good judgment about sequencing work, prioritizing among competing ideas, and explaining what should wait.
  • 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.

Responsibilities

  • Lead a team of two engineers, set direction, run one-on-ones and performance reviews, give direct feedback, and coach each person toward work that stretches them.
  • Hire as the team grows, define roles, run interview loops, and decide who joins.
  • Own the data platform end to end, including ingestion and change data capture, the Snowflake warehouse, dbt and the semantic layer, and tooling for internal and customer-facing analytics.
  • Ship native warehouse data sharing into customers' own environments, including the schema contracts customers will build on.
  • Design how sensitive customer data is handled across analytics and business intelligence so teams get needed answers while customer data stays protected.
  • Set the team's technical standards for modeling, testing, documentation, and code review, and meet those standards in personal code.
  • Work with Product, Compliance, and other engineering teams to decide what data is exposed, to whom, and under what constraints; make the platform preferable to teams building their own.

Desired Qualifications

  • Experience with native warehouse data delivery, such as Snowflake Data Sharing or Marketplace.
  • Background in fintech, financial services, or another regulated industry, especially handling personally identifiable information in analytics.
  • Experience building a semantic or metrics layer and connecting it to business intelligence tools.
  • Exposure to agentic or large language model-based workflows and the data infrastructure behind them.

About the Company

Alloy

Identity verification and KYC/AML compliance platform

Alloy provides identity verification and compliance solutions for financial institutions. It offers a platform that integrates with multiple data sources to verify the identities of individuals and businesses, helping banks, credit unions, and fintechs streamline customer onboarding while meeting regulatory requirements like KYC and AML. The product uses machine learning and AI to assess risk, validate identities, and detect potential fraud, enabling clients to reduce fraud, ensure compliance, and improve the onboarding experience. Alloy differentiates itself by focusing on bank and fintech ecosystems with data-source integrations, ML-driven risk assessment, and a subscription-based platform that supports ongoing compliance and onboarding needs. The company’s goal is to help financial institutions prevent fraud, stay compliant with regulations, and provide a smooth, efficient onboarding process for customers.

Company size
201-500
Company stage
Late Stage VC
Total funding
$216.7M
Headquarters
New York City, New York
Founded
2015

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