Senior Data Platform Engineer
@ Alloy

New York, New York, United States
$210,000
On Site
Full Time
Posted 11 hours ago

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Job Details

About Alloy

Alloy is where you belong! Alloy helps solve the identity risk problem for companies offering financial products. Over 600 of the world’s largest financial institutions and fintechs turn to Alloy to take control of fraud, credit, and compliance risk while growing with a clear picture of their customers. We celebrate being bold, scrappy, collaborative, and diverse.

About the Team

Data fuels everything at Alloy. Our data powers client decision-making and internal processes. We are at an inflection point with surging data volumes and a rapidly evolving product. The goal is to create a world-class data platform that makes data fast, simple, and reliable across every team and product feature.

What You'll Be Doing

As a Senior Data Platform Engineer, you will partner with our Staff Engineer and key leaders to:

  • Build a scalable, future-proof data ecosystem.
  • Unify and scale data infrastructure across business functions.
  • Leverage emerging data engineering technologies.
  • Create a low-friction, self-service data experience.
  • Shape data governance ensuring security, compliance, and quality.
  • Mentor engineers and establish the data platform team.

Your Day-to-Day

You will design, develop, and deploy scalable data pipelines for real-time, streaming, and batch workloads. You will create a centralized data platform for faster analytics, optimize performance and costs, and partner with cross-functional teams to meet strategic objectives. Additionally, you will develop observability frameworks, define success metrics, and act as a technical mentor by advocating best-in-class engineering practices.

Who We’re Looking For

You are a builder with deep experience in designing and scaling data platforms. With over 8 years in software engineering focused on data, you can manage massive data volumes, design ETL/ELT flows, and set up data governance practices. You thrive in startup environments, exhibit strong cross-functional collaboration, and have a product-focused mindset.

Nice to Have

Experience designing self-service data platforms, familiarity with event-driven architectures and data streaming technologies, and a discerning view on build vs buy choices.

Compensation & Benefits

This role offers a competitive base salary, equity awards, and a comprehensive benefits package including unlimited PTO, medical plans, 401k match, parental leave, home office stipend, learning stipends, and well-being benefits. You will work in a hybrid environment with scheduled office days in Union Square, Manhattan.

How to Apply

Apply right here! All communications will come directly from recruiting team members with an alloy.com email address.

Key skills/competency

Data Engineering, Data Platform, Scalability, ETL, ELT, Data Governance, Real-Time Processing, Mentorship, Cloud, Distributed Processing

How to Get Hired at Alloy

🎯 Tips for Getting Hired

  • Research Alloy's culture: Study their mission, values, and recent news.
  • Tailor your resume: Emphasize data platform and engineering skills.
  • Showcase portfolio: Highlight large-scale data projects.
  • Prepare technical insights: Review data pipeline and ETL challenges.
  • Practice behavioral answers: Demonstrate leadership and collaboration.

📝 Interview Preparation Advice

Technical Preparation

Review data pipeline design strategies.
Study distributed processing frameworks.
Practice optimizing system scalability.
Revisit ETL/ELT best practices.

Behavioral Questions

Describe past mentorship experiences.
Explain cross-team collaboration challenges.
Share handling of high-pressure decisions.
Discuss adapting to fast-paced environments.

Frequently Asked Questions