> Markdown version of [/jobs/ext/447089-senior-staff-software-engineer-data-platform](https://www.wearedevelopers.com/jobs/ext/447089-senior-staff-software-engineer-data-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Staff Software Engineer - Data Platform - **Company:** Marqeta, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $200,500.0 - $250,600.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Airflow, Amazon S3, Applications Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Security, Software Design Documents, Identity and Access Management, Python (Programming Language), Operational Databases, PCI Data Security Standards, Apache Spark, Debezium, Collibra, AWS Data Analytics, Apache Kafka, Free and Open-Source Software, Data Management - **Published:** June 3, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=324068e9b9cf3fa4 ## About the Role Do you have experience in Public Cloud?, * Production depth in modern lakehouse work. Iceberg or Delta in production. Strong fluency in the surrounding stack: AWS data services (S3, Glue, EMR), Spark, Airflow, Kafka, IAM boundaries for multi-tenant data access. You don't need depth in all of it - you need real depth in the lakehouse and credible engagement with the rest. * Mastery of Python in a production data-platform context, with credible depth in Go or Java. Idioms, ecosystem, performance characteristics, the parts that bite at scale. The ability to adopt the best tool for the job. * A track record of evolving live infrastructure. Improving reliability, performance, and DX on systems that real teams depend on, sequenced so the work doesn't disrupt them. * Ownership of major platform transitions. Build vs. buy, migration design, risk management, all the way through to delivery. You've led at least one of these end-to-end and can talk through what went right, what didn't, and what you'd do differently. * Influence as a working skill. You build alignment across platform, security, and consumer teams. You write design docs and RFCs people actually read. You can hold a strong technical position and update on evidence. * A history of growing other engineers - including peers at your level. The team gets stronger because you're on it. Helpful, not required: payments or fintech context (PCI-DSS, SOX, SOC 2). CDC tooling experience (Debezium, Kafka Connect). Data governance tooling (DataHub, Amundsen, Collibra). Public technical writing or open-source contributions to data infrastructure. ## Description You'd report to the Director of Data Engineering and partner with a peer Manager whose scope is people leadership and operational delivery. You own technical direction, application architecture, and the engineering bar. You'll work alongside other senior staff engineers across the broader data platform org, and partner with security, compliance, and the consumer teams who depend on what we ship., * A career building data platforms, not just pipelines. You can name the abstractions you've designed, the teams that adopted them, and the problems they solved. If most of your last several years has been writing transformations rather than building the system transformations run on, this isn't the right shape. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers)