# Staff Data Platform Engineer at Reality Defender

- Company: Reality Defender
- What the company does: Detect deepfakes in audio, video, and images. Identify AI callers and add detection to live calls, meetings, and applications. Backed by Y Combinator and AI Grant.
- Company website: http://www.realitydefender.com
- Type: Startups (AI role)
- Level: Senior
- Location: New York City
- Work setup: On-site
- Pay: $210K to $260K base salary per year (USD)
- Posted: 2026-10-16
- Apply by: 2026-11-30
- Apply: https://jobs.ashbyhq.com/realitydefender/929e2408-f5aa-4944-b27c-7ccb8ee07237?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/reality-defender-staff-data-platform-engineer/

## About the role

Reality Defender's detection models are only as strong as the data behind them, and every new generative tool raises the bar on the volume and variety of media we need to train and evaluate against. The Staff Data Platform Engineer will own the shared AI data platform behind our vision, audio, and multimodal research, turning acquired and internally generated image, video, audio, and text data into reliable, reproducible datasets, from continuous ingestion through processing, governance, and export. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- 8+ years building data platforms or data infrastructure, including staff- or lead-level ownership of production pipelines that generate, ingest, or deliver data at high volume
- Deep hands-on experience with distributed processing (Spark, Ray, or similar) and lakehouse platforms, ideally Databricks, on top of cloud object storage (S3, GCS, or Azure Blob)
- Production experience with Databricks, Unity Catalog, Delta Lake, and Spark on AWS, including performance tuning, access controls, and operational troubleshooting
- Experience working with large unstructured media such as video, audio, or images, including the realities of large files, decoding and transcoding, and metadata at scale
- A track record of building reproducible ML datasets: versioning, lineage, data quality validation, and orchestration (Airflow, Dagster, Databricks Workflows, or similar)
- Strong Python and SQL, and the judgment to own ambiguous platform problems end-to-end on a lean team

Tags: Engineering

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/reality-defender-staff-data-platform-engineer/