Staff Data Platform Engineer (Databricks)

Location: New York City HQ or remote within the United States; remote Fridays are available for NYC-based employees.

Base salary: $210,000–$260,000 per year, plus equity and potential annual performance bonus.

Company

hirify.global develops API-first cybersecurity technology that detects deepfakes and AI-generated video, audio, images, and text for enterprise and government customers.

What you will do

• Own the end-to-end AI research data platform, including ingestion, preprocessing, governance, and export of high-volume multimodal data.
• Complete and scale the Databricks lakehouse and distributed processing stack using Spark, Ray, or similar technologies.
• Build reusable infrastructure for synthetic deepfake data generation across vision, audio, and multimodal research.
• Ensure dataset reproducibility through versioning, lineage, metadata, quality checks, and stable training and evaluation splits.
• Own pipeline reliability, observability, processing costs, and self-serve tools for ML researchers.
• Mentor engineers, improve engineering practices, and collaborate with security, compliance, engineering, and research leadership.

Requirements

• 8+ years of experience building data platforms or data infrastructure, including staff- or lead-level ownership of high-volume production pipelines.
• Hands-on experience with distributed processing, lakehouse platforms, Databricks, Unity Catalog, Delta Lake, and cloud object storage.
• Production experience with Databricks and Spark on AWS, including performance tuning, access controls, and operational troubleshooting.
• Experience processing large unstructured media such as video, audio, or images, including decoding, transcoding, and metadata at scale.
• Experience building reproducible ML datasets with versioning, lineage, data quality validation, and orchestration tools such as Airflow, Dagster, or Databricks Workflows.
• Strong Python and SQL skills, plus experience with Terraform, CI/CD, AWS infrastructure, IAM, and deployment automation.

Nice to have

• Experience building synthetic data generation pipelines or running diffusion, voice cloning, text-to-speech, or video generation models at scale.
• Background supporting ML research teams with training and evaluation data for multimodal models.
• Experience in security, fraud, trust and safety, or a Series A/B startup environment.

Culture & Benefits

• Healthcare premiums are fully covered for employees, with partial dependent coverage.
• Dental and vision premiums are fully covered for employees and dependents.
• Short- and long-term disability, life insurance, FSA/HSA, and 401(k) programs are available.
• Equity compensation, 20 days of paid time off, 12 weeks of parental leave, and a learning and development budget.
• Monthly wellness benefits and an annual company-sponsored offsite.
• NYC HQ employees receive daily in-office lunch, commuter benefits, remote Fridays, and local events.