Senior Data Platform Engineer

SentiLink stops more than 150,000 fraud attempts and verifies more than 3 million identities every day to protect both institutions and consumers. The problems we work on are challenging, and solving them takes deep domain expertise, rigorous analysis, and a willingness to dig into the details.

At SentiLink, you'll work alongside smart, highly collaborative colleagues who respect each other's time and judgment, take ownership, and follow through on their commitments. Together, we do truly meaningful work protecting the identities of innocent consumers and flagging the fraudsters attempting to exploit them.

We're well capitalized and growing quickly. We already serve 13 of the top 15 U.S. banks, we're expanding into new markets, and we're backed by Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We've been named to the Forbes Fintech 50 and as a 2026 FICO Industry Vanguard Decision Award Winner . We were also the first company to go live with the electronic Consent Based Social Security Number Verification (eCBSV) service, and we've testified before the U.S. Congress on the future of identity.

We want SentiLink to be the best place you've ever worked. We offer generous benefits and support a range of working arrangements, from fully remote to in-office. We are a digital-first company with strong collaboration across the U.S. and India, and we meet in person regularly to build relationships. We have offices in Austin, San Francisco, New York City, Seattle (Bellevue), Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India.

• Role: As a Senior Data Platform Engineer team at SentiLink, you will own the data infrastructure components that support the SentiLink suite of products. You will work with product, engineering, and data science teams across the company to build, enhance and modify the data platform that powers our fraud detection products. You have outstanding programming skills and are proficient in our technology stack and pick up new technologies quickly as we evolve.

This is a remote, US-based role.

• Technologies: Python, Golang, PostgreSQL (RDS), OpenSearch, Redshift, EMR, Spark, Docker, Lambda, AWS technologies

Responsibilities:

• Build, expand, and optimize data infrastructure in order to create the most accurate dataset of identities and their relationships

• Develop and operate secure, scalable, and reliable data ingestion and ETL/ELT pipelines that meet product requirements

• Design and maintain a data observability framework to ensure our data meets strict quality and freshness standards

• Optimize data storage layer and build/maintain interfaces to enable scalable and fast data access to our data stores

• Collaborate with product teams (squads) supporting their data platform needs for smooth delivery of existing and new products

• Participate in call rotation for production issues, along with the rest of engineering

• Mentor junior engineers and contribute to our evolving engineering best practices

• Drive innovation by actively participating in our hackathons and doing proof of concepts

• Develop functional subject matter expertise within various areas of identity fraud domain

Requirements:

• 5+ years of experience in software engineering, data engineering or related field

• Proficient in in python or golang and related technologies and frameworks

• Expertise in building and maintaining ETL/ELT pipelines at scale leveraging distributed data processing technologies like spark, hadoop, kafka or similar technologies

• Hands-on experience with public cloud platforms such as AWS, Microsoft Azure or GCP

• Deep understanding of different database technologies including but not limited to RDBMS (e.g. postgres), NoSQL (OpenSearch, vector DB), Columnar data stores etc. and experience with writing efficient queries and optimization techniques

• Experience building enterprise grade, scalable, containerized data services and frameworks on Kubernetes or similar platforms

• Working knowledge of Infrastructure-as-Code and devops practices

• Excellent analytical and problem solving skills, interpersonal skills and a sense of humor (enjoy the journey)

• Self organized and ability to work independently and with ambiguity

• Experience working in a scrum / Agile development environment

• Bonus points if you have:

• Experience working with Spark/EMR

• Built streaming applications

• Experience with AWS technologies such as EKS, SQS/SNS, EMR, Redshift, S3 etc.

• Prior experience working in a fintech startup

• Candidates must be legally authorized to work in the United States and must live in the United States

Compensation:

• $170,000/year - $230,000/year + equity + benefits

Note: This salary range may be inclusive of multiple career levels, and the actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, and qualifications.

• Perks: - Employer paid group health insurance for you and your dependents

• 401(k) plan with employer match (or equivalent for non US-based roles)

• Flexible paid time off

• Regular company-wide in-person events

• Home office stipend, and more!

• Corporate Values:

• Follow Through

• Deep Understanding

• Whatever It Takes

• Do Something Smart

• Build, expand, and optimize data infrastructure in order to create the most accurate dataset of identities and their relationships

• Develop and operate secure, scalable, and reliable data ingestion and ETL/ELT pipelines that meet product requirements

• Design and maintain a data observability framework to ensure our data meets strict quality and freshness standards

• Optimize data storage layer and build/maintain interfaces to enable scalable and fast data access to our data stores

• Collaborate with product teams (squads) supporting their data platform needs for smooth delivery of existing and new products

• Participate in call rotation for production issues, along with the rest of engineering

• Mentor junior engineers and contribute to our evolving engineering best practices

• Drive innovation by actively participating in our hackathons and doing proof of concepts

• Develop functional subject matter expertise within various areas of identity fraud domain

• 5+ years of experience in software engineering, data engineering or related field

• Proficient in in python or golang and related technologies and frameworks

• Expertise in building and maintaining ETL/ELT pipelines at scale leveraging distributed data processing technologies like spark, hadoop, kafka or similar technologies

• Hands-on experience with public cloud platforms such as AWS, Microsoft Azure or GCP

• Deep understanding of different database technologies including but not limited to RDBMS (e.g. postgres), NoSQL (OpenSearch, vector DB), Columnar data stores etc. and experience with writing efficient queries and optimization techniques

• Experience building enterprise grade, scalable, containerized data services and frameworks on Kubernetes or similar platforms

• Working knowledge of Infrastructure-as-Code and devops practices

• Excellent analytical and problem solving skills, interpersonal skills and a sense of humor (enjoy the journey)

• Self organized and ability to work independently and with ambiguity

• Experience working in a scrum / Agile development environment

• Bonus points if you have:

• Experience working with Spark/EMR

• Built streaming applications

• Experience with AWS technologies such as EKS, SQS/SNS, EMR, Redshift, S3 etc.

• Prior experience working in a fintech startup

• Candidates must be legally authorized to work in the United States and must live in the United States