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Staff Infra Engineer - Data Platform
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: FullTime
From the employer’s posting
What you’ll work on
Full postingDesign, build and operate internal platform services and CLIs for authoring, scheduling and shipping data changes
Improve reliability and operability of data platform systems, including monitoring, incident response and runbooks
Lead large-scale migrations and deprecations with phased plans and measurable cutover criteria
Drive cost and performance outcomes by finding bottlenecks, right-sizing workloads and building guardrails
Build developer experience for data producers and consumers, such as fast feedback loops and self-serve workflows
From the employer’s posting
Design, build, and operate internal platform services and CLIs that teams use to author, schedule, validate, and ship analytics and operational data modeling changes safely.
Improve reliability and operability for data platform systems: SLO-minded monitoring, incident response patterns, safe rollouts, and clear runbooks.
Lead large-scale migrations and deprecations (e.g., storage/table formats, orchestration, query engines) with a phased plan, guardrails, and measurable cutover criteria.
Drive cost and performance outcomes at scale: identify systemic bottlenecks, right-size workloads, and build guardrails that prevent expensive failure modes.
Build developer experience for data producers/consumers: fast feedback loops, golden paths, self-serve workflows, and actionable error messages.
What you’ll bring
All qualificationsCore experience
- Proficiency with at least one major cloud platform (GCP, AWS, or Azure).
Qualification wording
Proficiency with at least one major cloud platform (GCP, AWS, or Azure).
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 29, 20266 days ago
- Recorded sightings
- 7
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Oct 26, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Shopify is hiring
20 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- AWS
- Azure
- BigQuery
- GCP
- Iceberg
- Airflow
Where the posting names them
- Data-change discipline: comfortable reasoning about backfills, idempotency, schema evolution, and blast radius when many downstream datasets depend on a platform behavior. - Proficiency with at least one major cloud platform (GCP, AWS, or Azure). - Bonus: hands-on experience with BigQuery, Airflow/Composer, Iceberg/Delta (or similar open table formats), data lake/lakehouse operations, or large-scale platform migrations.
- Proficiency with at least one major cloud platform (GCP, AWS, or Azure). - Bonus: hands-on experience with BigQuery, Airflow/Composer, Iceberg/Delta (or similar open table formats), data lake/lakehouse operations, or large-scale platform migrations. At Shopify, we pride ourselves on moving quickly — not just in shipping, but in our hiring process as well. If you're ready to apply, please be prepared to interview with us within the week. Our goal is to complete the entire interview loop within 30 days.
Your next step
Complete your application on www.shopify.com. The employer’s form will show what is required.
Already applied? Track this application
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Build the data platform that powers Shopify. Our Data Platform Tools team owns how Shopify moves, monitors, and uses data at massive scale. You’ll build the internal tooling and platform services that let thousands of engineers and analysts move, monitor, and govern analytical data safely at massive scale.
Key Responsibilities
Design, build, and operate internal platform services and CLIs that teams use to author, schedule, validate, and ship analytics and operational data modeling changes safely.
Improve reliability and operability for data platform systems: SLO-minded monitoring, incident response patterns, safe rollouts, and clear runbooks.
Lead large-scale migrations and deprecations (e.g., storage/table formats, orchestration, query engines) with a phased plan, guardrails, and measurable cutover criteria.
Drive cost and performance outcomes at scale: identify systemic bottlenecks, right-size workloads, and build guardrails that prevent expensive failure modes.
Build developer experience for data producers/consumers: fast feedback loops, golden paths, self-serve workflows, and actionable error messages.
Partner across teams to standardize patterns (metadata, access, testing, promotion pipelines) while preserving escape hatches for legitimate exceptions.
Qualifications
You design maintainable systems, operate them responsibly in production, and reason about correctness, reliability, and performance when data and platform changes affect many teams.
Production ownership: ships changes with a plan for rollout/rollback, monitors impact, and follows through after launch.
Systems thinking: clear interfaces/contracts, explicit failure modes, and pragmatic tradeoffs between correctness, freshness, cost, and complexity.
Data-change discipline: comfortable reasoning about backfills, idempotency, schema evolution, and blast radius when many downstream datasets depend on a platform behavior.
Proficiency with at least one major cloud platform (GCP, AWS, or Azure).
Bonus: hands-on experience with BigQuery, Airflow/Composer, Iceberg/Delta (or similar open table formats), data lake/lakehouse operations, or large-scale platform migrations.
At Shopify, we pride ourselves on moving quickly — not just in shipping, but in our hiring process as well. If you're ready to apply, please be prepared to interview with us within the week. Our goal is to complete the entire interview loop within 30 days.
Ready to build the platform behind the platform? Join us.
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- Pay
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- Location & working pattern
Americas
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