
Senior Data Platform Engineer
Fetch Rewards
full-time
Posted on:
Location Type: Remote
Location: United States
Visit company websiteExplore more
Job Level
About the role
- Own Core Data Platform Architecture
- Design and evolve platform components built on Iceberg-backed data storage.
- Define how data platform services are structured, composed, and consumed across teams.
- Take a prescriptive, system-level approach to platform design to reduce fragmentation and complexity.
- Define & Enforce Data Contracts
- Establish standards for data schemas, ownership, and lifecycle management.
- Build mechanisms to validate and enforce contracts across ingestion and downstream consumers.
- Orchestration & Workflow Design
- Design and own orchestration patterns within the internal data platform service.
- Guide how distributed processing workloads (e.g., Spark-based jobs) are scheduled, retried, and monitored.
- Reliability, Scalability & Cost Awareness
- Improve platform resilience, failure isolation, and recovery patterns.
- Partner with Finance and Engineering to improve cost visibility and efficiency of data workloads.
- Mentorship & Technical Leadership
- Mentor Data Platform Engineers and raise the technical bar across the platform team.
- Review designs, guide implementation decisions, and influence long-term platform strategy.
- Cross-Functional Influence
- Collaborate with Product, Analytics, ML, and Infrastructure teams to align data platform capabilities with business needs.
- Act as a trusted technical partner for high-impact data initiatives.
- AI Fluency in Platform Engineering
- Integrate AI-assisted tooling into data platform workflows to accelerate design, validation, and troubleshooting.
- Evaluate emerging AI tools for data and platform engineering, balancing speed with reliability, security, and correctness.
Requirements
- 5+ years of experience in data platform, data engineering, or platform engineering roles, with demonstrated ownership of complex systems.
- Deep expertise in AWS-based data architectures and cloud-native system design.
- Deep experience designing and operating distributed data processing systems (e.g., Spark at scale, batch and streaming workloads).
- Strong software engineering fundamentals with proficiency in Python, Java, or Scala, applied to large, production-grade systems.
- Proven ability to design, build, and own CI/CD pipelines, infrastructure, and production operations for critical platform systems.
- Demonstrated ability to debug complex, cross-system issues, influence technical decisions, and mentor engineers.
- Experience using AI-assisted tools thoughtfully to improve engineering outcomes, code quality, and system reliability.
- Preferred Qualifications: Deep hands-on experience with AWS data services (e.g., S3, Glue, EMR, Kinesis, MSK) in production environments.
- Strong experience with data orchestration frameworks and workflow engines, including design or operational ownership.
- Experience defining and improving data observability standards, monitoring strategies, and operational metrics.
- Experience owning broader platform or distributed systems domains, including setting standards or paved paths for multiple teams.
- Track record of improving developer velocity, reliability, and platform adoption across multiple teams.
Benefits
- Equity: We offer employees equity in Fetch, so that everyone can benefit from Fetch’s growth.
- 401k Match: Dollar-for-dollar match up to 4%.
- Benefits for humans and pets: We offer comprehensive medical, dental and vision plans for everyone including your pets.
- Continuing Education: Fetch provides ten thousand per year in education reimbursement.
- Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.
- Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, including Juneteenth and Indigenous People’s Day, as well as our year-end week-long break.
- Robust Leave Policies: 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers, and a flexible return to work schedule.
- Calvin Care Cash: Employees who are welcoming new family members will also receive a one time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more!
- Flexible Work Environment: Collaborate with your team in one of our stunning offices in Madison, Birmingham, or Chicago. Or you can work fully remotely from anywhere in the US. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data platform architecturedata storagedata contractsorchestration patternsdistributed processingSparkPythonJavaScalaCI/CD pipelines
Soft skills
mentorshiptechnical leadershipcross-functional collaborationinfluenceproblem-solving