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- Full-time
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.
- Scaling our backend services to ever-growing levels of traffic and complexity.
- 4-7 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
- You have strong knowledge of software development fundamentals, including relevant background in computer science fundamentals, distributed systems, data storage, and agile development methodologies.
- You are pragmatic and combine a strong understanding of technology and product needs to arrive at the best solution for a given problem.
- You are highly entrepreneurial and thrive in taking ownership of your own impact. You take the initiative to solve problems before they arise.
- You are an excellent collaborator & communicator. You know that startups are a team sport. You listen to others, aren’t afraid to speak your mind and always try to ask the right questions.
- You are excited by the prospect of working in a distributed team and company, working with teammates from all over the world.
- 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.
- Competitive salary and equity package
- Fast-paced, collaborative, and high-autonomy work culture
- Hybrid work setup designed for flexibility and work-life balance
- Fully paid group medical insurance and personal accident insurance
- Generous paid time off, plus company-declared public holidays
- Fully paid parental leave for fathers and non-birthing parents (12 weeks), in addition to 26 weeks of statutory maternity leave
- Monthly WFH stipend, along with a one-time home office setup budget
- $500 annual professional development budget
- Quarterly social meet-ups and sponsored monthly team lunches
Perks & benefits
- Distributed Team
- Medical Insurance
- Paid Time Off
- Learning Budget
- Home Office Budget
- Equity Compensation
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