Fetch · 8 hours ago
Senior Data Platform Engineer
United States
Full-time
Remote
Senior Level
5+ years expFetchrewards is a company that empowers consumers to earn rewards for their purchases. They are seeking a Senior Data Platform Engineer to take an architectural role in shaping data storage, processing, and orchestration across the company, while also mentoring engineers and guiding platform evolution.
E-CommerceLoyalty ProgramsMobile AppsShopping
Responsibilities
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
Qualification
Required
5+ years of experience in data platform, data engineering, or platform engineering roles, with ownership of large-scale, production systems
Deep expertise in AWS-based cloud architectures, including designing, operating, and evolving distributed systems at scale
Strong experience building and operating distributed data processing systems, including batch and streaming workloads (e.g., Spark)
Strong software engineering fundamentals with proficiency in Python, Java, or Scala, applied to production-grade systems
Proven ownership of CI/CD pipelines, infrastructure, and production operations for critical platform services
Deep expertise in Infrastructure as Code (Terraform), including reusable modules and multi-environment deployments
Advanced experience operating Kubernetes-based platforms, including Amazon EKS, in production
Demonstrated ability to debug complex cross-system issues, influence technical decisions, and mentor engineers
Experience using AI-assisted development tools to improve code quality, reliability, and engineering efficiency
Preferred
Hands-on experience with AWS data services such as S3, Glue, EMR, Kinesis, and MSK in production environments
Experience designing or owning data orchestration and workflow systems
Experience defining and improving data observability, monitoring, 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 teams
Experience influencing or shaping platform architecture, standards, or technical direction beyond a single team
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.
Company
Fetch
Fetch is a consumer-engagement platform that enables users to earn and redeem rewards.
501-1000 employees
H1B Sponsorship
Fetch has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (2)
2023 (2)
2022 (1)
2021 (2)
2020 (2)
Funding
Current Stage
Late StageTotal Funding
$691.85MKey Investors
Morgan Stanley Private CreditHamilton LaneSoftBank Vision Fund
2024-12-10Secondary Market
2024-03-20Debt Financing· $110M
2022-04-07Series E· $240M
Leadership Team
Wes Schroll
CEO & Founder
Tyler Kennedy
Co-Founder / SVP - Operations
Recent News
headline.com
2026-01-13
2025-09-17
Company data provided by crunchbase