Data Platform Engineer
Branch International
full-time
Posted on:
Location Type: Remote
Location: India
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About the role
- Design and build the data platform to support TB-scale datasets with strong reliability, observability, and cost efficiency.
- Build standardized ingestion frameworks (batch + near-real-time where needed), including schema evolution, backfills, and data quality controls.
- Own warehouse/lakehouse modeling patterns (dimensional, event-based, and domain-oriented models), with clear semantic layers for self-serve analytics.
- Implement data governance & security: access controls, lineage, PII handling, retention policies, and auditability.
- Partner with stakeholders to translate ambiguous needs into crisp platform roadmaps and phased delivery.
- Scale our backend services to ever-growing levels of traffic and complexity.
Requirements
- 7+ years building production-grade data/backend systems, with meaningful ownership of platform components end-to-end.
- Experience leveraging modern AI tools for efficiency and effectiveness
- Strong knowledge of software development fundamentals, including relevant background in computer science fundamentals, distributed systems, data storage, and agile development methodologies.
- Pragmatic and combine a strong understanding of technology and product needs to arrive at the best solution for a given problem.
- Highly entrepreneurial and thrive in taking ownership of your own impact.
- Initiative to solve problems before they arise.
- Excellent collaborator & communicator.
- Experience in designing, building, and maintaining scalable data architectures that integrate disparate data sources.
- Strong fundamentals in distributed systems, data storage, and data modeling
- Hands-on experience with a modern stack similar to dbt + orchestration (Airflow/Dagster) + cloud warehouse (Snowflake/BigQuery/Redshift).
- Strong programming ability in Python or Go, plus SQL fluency.
Benefits
- Competitive salary and equity package
- A collaborative and flat company culture
- Remote first, with the option to work in-person occasionally
- Fully-paid Group Medical Insurance and Personal Accidental Insurance
- Unlimited paid time off including personal leave, bereavement leave, sick leave
- Fully paid parental leave - 6 months maternity leave and 3 months paternity leave
- Monthly WFH stipend alongside a one time home office set-up budget $500
- Annual professional development budget
- Discretionary trips to our offices across the globe, with global travel medical insurance
- Team meals and social events- Virtual and In-person
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data platform designdata ingestion frameworkswarehouse modelingdata governancedata securitydata architecturedistributed systemsdata storagedata modelingprogramming in Python
Soft Skills
collaborationcommunicationproblem-solvingownershipentrepreneurial mindsetinitiativepragmatismstakeholder engagementtranslating needsagility