Senior Engineer, Data Platform at Alloy

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Jan, 26

Salary

226000.0

Posted On

08 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Infrastructure, ETL, ELT, Data Governance, Data Security, Data Compliance, Data Processing, Data Pipelines, Data Ecosystem, Cross-Functional Collaboration, Technical Mentorship, Scalability, Performance Optimization, Event-Driven Architectures, Data Streaming Technologies

Industry

Financial Services

Description

Alloy is where you belong! 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 600 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, Get Scrappy, Collaborate, and Celebrate Our Differences, we are creating a workplace where you can grow, thrive, and belong. See how we’ve been 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. Check out our investors and read more about us here. About the team Data fuels everything we do at Alloy - not just for our product, but also how we operate. For our clients, it powers the decisions that they make about thousands of data points every millisecond of the day to onboard customers, automate processes, and stay vigilant against fraud. Internally, data drives how we serve those clients - from measuring client health and identifying opportunities for deeper engagement, to optimizing our support and implementation processes. Our ability to utilize data at these massive scales is only as powerful as our ability to make it available and actionable across our business and product. We're at an inflection point: our data volumes are surging, our product is evolving, and our clients' needs are growing more sophisticated. To power Alloy's next phase of growth, we need a world-class data platform that ensures access to data is fast, simple, and reliable across every team and product feature. That’s where you come in! We're seeking out the second engineer of our Data Platform team to work with our Staff Engineer to architect and build Alloy's next-generation data platform from the ground up. You'll help drive Alloy's data strategy and platform delivery, working closely with our CTO, Product & Engineering leaders, and cross-functional stakeholders to transform our data capabilities into a competitive advantage. You'll build a scalable, high-performance data platform that empowers engineering teams, product groups, client success teams, and executives to make faster and more informed decisions. If you're energized by building foundational data infrastructure, solving complex challenges at scale, and shaping the future of financial technology – we want to talk to you! What you'll be doing As a Senior Engineer, you will help lay the foundation for Alloy’s data infrastructure and drive the technical vision for our next-generation data platform. Your responsibilities will be to partner with the Staff Engineer and: Build a scalable, future-proof data ecosystem that powers Alloy’s growth. Unify and scale Alloy’s data infrastructure – design and implement a simple, cohesive, and reliable platform that seamlessly integrates data across engineering, product, marketing, and all other business functions. Leverage emerging technologies in data engineering and continuously improve Alloy’s data platform capabilities. Make data effortlessly accessible – build a low-friction, self-service data experience that powers clients of Alloy as well as our internal teams to make real-time decisions. Shape data governance practices ensuring access to data is secure, compliant, and high-quality. Establish the data platform team – define the technical direction, mentor engineers, and help build a high-performing team from the ground up. Your day-to-day will include: Design, develop, and deploy scalable data pipelines that can ingest, process, and serve data across multiple teams for real-time, streaming, and batch workloads. Create a centralized data platform that enables faster experimentation, analytics, automation, and enablement across the product and company as a whole. Optimize the infrastructure for costs, performance, and scalability making smart tradeoffs with our evolving data volumes. Partner with engineering, product, and business leaders to identify data needs and implement solutions that align with strategic objectives. Develop monitoring and observability frameworks, and define success metrics to ensure Alloy’s data platform remains robust and operationally sound. Play the role of a technical mentor and thought leader across engineering, helping grow and scale the data platform team over time. Advocate and implement best-in-class data engineering tools, fostering a culture of engineering excellence. Who we’re looking for We are looking for someone with a builder’s mindset adept in building data platforms that could power Alloy’s next phase of growth. You don’t just work with data; you think strategically about how data should be collected, moved, and structured to make it actionable across the entire organization and our clients. You are a visionary data engineer with experience architecting, building, or contributing to a “data platform” or large-scale data infrastructure project. 8+ years of experience in software engineering, with a focus on data platform, data engineering, or data infrastructure roles. You are experienced in scaling systems for massive data volumes. You have deep expertise in ETL/ELT flows and distributed data processing. Experience defining data governance, security, and compliance practices, for responsible data usage. You are a self-starter with a knack for turning open questions into reliable engineering solutions. You have a product and business mindset - you don’t just build systems; you aim to create impact. You are able to make architectural decisions that balance performance, scalability, and flexibility across different data needs. You have a strong track record of cross-functional collaboration, teaming up with engineering, product, and operations teams to drive data initiatives. You lead engineers by example - moving fast, being proactive, and keeping humble. You thrive in startup environments and are comfortable with setting strategic direction as well as diving hands-on into the code. Nice to have: Experience designing self-service data platforms for internal teams and external clients. Experience with event-driven architectures and data streaming technologies. Opinionated about build vs buy when it comes to data infrastructures and tools. Experience working with our current data infra - you’ve likely encountered some or most of these, but our focus is on overall data architecture experience rather than deep expertise in any single tool or technology: Familiarity with tools for rapid iteration like Retool or internal data applications. We're a lean team, so your impact will be felt immediately, and opportunities will grow as the company scales up. If this all sounds like a good fit for you, why not join us? Alloy is committed to fair and equitable compensation practices. Below is the anticipated starting base compensation range for this role; however, pay may vary depending on job-related knowledge, in-demand skills, relevant experience, and/or geography. In addition to a competitive base salary, this position is also eligible for equity awards in the form of stock options (ISOs) as well as a competitive total benefits package. Your recruiter will be happy to walk you through the details and what compensation could look like for you specifically! This position has a salary range of $192,000 to $226,000. Benefits and Perks 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, and Spring Health Hybrid work environment: our employees local to NYC are expected to work Tuesdays and Thursdays from our HQ in Union Square, Manhattan. Tasty lunches catered from a variety of local restaurants and frequent employee-organized cultural events contribute to our positive office energy. On Monday/Wednesday/Friday most employees Zoom into work from home while some take advantage of the quieter office. How to apply Apply right here! You've found the application! 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.

Responsibilities

As a Senior Engineer, you will help lay the foundation for Alloy’s data infrastructure and drive the technical vision for our next-generation data platform. Your responsibilities will include building a scalable data ecosystem and ensuring data accessibility across various teams.