Responsibilities
- Framework Engineering: Build the reusable plumbing for connectors—including authentication, circuit breaking, retries, and idempotency—so that adding a new data source focuses exclusively on data logic.
- Canonical Mapping: Design the logic to map inconsistent enterprise data (Finance, HR, etc.) into strongly-typed entities. This includes handling multi-source enrichment, unit normalization, and field-level provenance.
- Reliability: Implement synchronization strategies with watermark management to ensure the system recovers gracefully from failures without data loss or duplication.
- Replayability: Build infrastructure to store raw API responses allowing the system to re-process data from local storage when mapping logic evolves, without re-querying source APIs.
- Performance: Optimize for high-volume synchronization, focusing on PostgreSQL performance, concurrent fetching, and batch upserts.
- Observability: Define and monitor metrics for throughput, data drift, and error rates to identify issues before they impact downstream applications.
- Collaboration: Collaborate with platform architect on schema evolution, entity contracts, and the boundary between what connectors own and what the platform layer handles
Requirements
- 6+ years in backend engineering: Experience building and operating distributed systems in production.
- Go (or similar): Proficiency with strong typing and concurrency.
- PostgreSQL Expertise: Strong understanding of schema design, indexing strategies, and performance tuning
- Distributed systems: Experience designing and operating distributed systems
- Data Integrity: Experience implementing idempotent systems, dead-letter queues, and backpressure management.
- Delta syncs: Experience designing incremental and delta synchronization mechanisms with watermark tracking and safe recovery from mid-sync failures
- Cloud Native: Experience deploying and managing services in AWS or similar environments.
Nice to Have
- Enterprise Integration: Experience building custom integration frameworks or working with complex ERP/HR APIs (SAP, Workday, etc.).
- Systems Architecture: Understanding of when to utilize polling versus event-driven patterns (CDC/Kafka).
- AI-Ready Data: Experience structuring data to be consumed by downstream AI/LLM services.
Work Arrangement
Hybrid
Additional Information
- Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
- Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
- Archer is unable to provide work visa sponsorship for this position at the present time.
- Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
