Senior Data Platform Engineer

Who we are:

We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $75M from world-class investors including Andreessen Horowitz, Visa, Experian, FIS, and Google Ventures.

Our culture:

• We have hubs in the Bay Area, NYC, Austin, and Toronto. However, we have a remote-first work culture. #WorkFromAnywhere

• We hire talented, self-motivated people and get out of their way

• We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, or doctor's appointments for the sake of adhering to an arbitrary work schedule.

Location:

• United States / Canada - Remote

• From Home / Beach / Mountain / Cafe / Anywhere!

• We are a remote-first company with a globally distributed team. You can find your productive zone and work from there.

About the role:

We are seeking a Senior Data Platform Engineer to design and build scalable, data-intensive applications. This role requires expertise in ingesting and transforming large datasets, creating APIs for efficient data retrieval, and developing data products that drive business insights. You will be a key player in shaping our data platform while contributing to backend engineering initiatives.

The ideal candidate bridges the gap between traditional data engineering and backend development, building ETL pipelines, APIs, and data-driven solutions with a focus on performance and scalability.

Key Responsibilities:

• Large-Scale Data Processing: Design and implement ETL pipelines capable of processing terabytes of credit data efficiently.

• API Development: Develop and optimize APIs to support fast and reliable data retrieval, including both exact and partial matches.

• Storage Architecture: Architect and manage scalable storage solutions (e.g., Bigtable, BigQuery, ElasticSearch, or other NoSQL/SQL systems).

• Data Product Development: Collaborate with teams to turn raw data into actionable products, driving insights and business value.

• Data Analysis: Perform analysis on data to figure out the best use of data to provide value to clients

• Collaboration: Work closely with both internal and external stakeholders, including data science, product, and operation

• Documentation and Mentorship: Document processes, architectures, and APIs. Mentor junior engineers and foster a culture of technical excellence.

An ideal candidate has:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

• Experience:

  • 5+ years of experience in backend or data engineering roles.

  • Proven experience building APIs for data access and processing large-scale datasets.

  • Familiarity with credit or financial data and related compliance considerations.

• Technical Skills:

  • Expertise in a modern programming language such as Go, Python, or Java.

  • Strong knowledge of database systems (SQL and NoSQL), with a focus on scalable solutions like Bigtable, BigQuery, or DynamoDB.

  • Deep understanding of API design principles and best practices for performance and scalability.

  • Familiarity with cloud platforms (AWS, GCP, or Azure) and associated data services.

  • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.

• Soft Skills:

  • Strong analytical and problem-solving skills.

  • Excellent communication skills to convey complex technical concepts.

  • Ability to work collaboratively in a fast-paced environment.

Nice to have:

• Proficiency with data processing tools (e.g., Apache Beam, Spark, Flink as well as orchestrators like Airflow).

• Knowledge of data product lifecycle management.

• Experience with schema design and managing data integrity in distributed systems.

• Familiarity with modern monitoring and observability tools.

Compensation: Base pay range of $140,000 - $160,000 + Equity with tremendous upside potential + Attractive benefits

Benefits we offer:

• Generous compensation in cash and equity

• Early exercise for all options, including pre-vested

• Work from anywhere: Remote-first Culture

• Flexible paid time off, Year-end break, Self care days off

• Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific

• 4% matching in 401k / RRSP - US and Canada specific

• MacBook Pro delivered to your door

• One-time stipend to set up a home office — desk, chair, screen, etc.

• Monthly meal stipend

• Monthly social meet-up stipend

• Annual health and wellness stipend

• Annual Learning stipend

• Unlimited access to an expert financial advisory

Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you.