Senior Data Platform Engineer

Summary

Join Sardine, a leader in fraud prevention and AML compliance, as a Senior Data Platform Engineer. You will design and build scalable, data-intensive applications, processing terabytes of credit data, developing APIs for efficient data retrieval, and creating data products. This role requires expertise in large-scale data processing, API development, storage architecture, and collaboration with various teams. You'll be a key player in shaping our data platform and contributing to backend engineering initiatives. We offer a remote-first work culture, competitive compensation, and a comprehensive benefits package. Sardine values performance over hours worked and provides a flexible work environment.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 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
• 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
• Strong analytical and problem-solving skills
• Excellent communication skills to convey complex technical concepts
• Ability to work collaboratively in a fast-paced environment

Responsibilities

• Design and implement ETL pipelines capable of processing terabytes of credit data efficiently
• Develop and optimize APIs to support fast and reliable data retrieval, including both exact and partial matches
• Architect and manage scalable storage solutions (e.g., Bigtable, BigQuery, ElasticSearch, or other NoSQL/SQL systems)
• Collaborate with teams to turn raw data into actionable products, driving insights and business value
• Perform analysis on data to figure out the best use of data to provide value to clients
• Work closely with both internal and external stakeholders, including data science, product, and operation
• Document processes, architectures, and APIs
• Mentor junior engineers and foster a culture of technical excellence

Preferred Qualifications

• 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

Benefits

• 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