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Machinify logo
Machinify

The future of payment integrity.

Data Operations Tech Lead

Full-stack EngineerSoftware EngineerOtherRemoteSeniorTeam 1,001-5,000H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

96 days ago

Salary

$200K - $250K / year

Seniority

Senior

Job Description

Data Operations Tech Lead

Machinify

• Act as the technical lead for Data Operations, owning the operational readiness of modern data pipelines built on Airflow, Spark, and cloud data infrastructure • Lead incident triage and resolution for Tier 1 and Tier 2 pipeline issues (data delays, job failures, data quality alerts, SLA breaches) • Establish clear runbooks, escalation paths, and operational best practices for pipeline support • Partner with Data Engineering to influence pipeline design with operability, observability, and supportability in mind • Design and improve monitoring, alerting, and dashboards for data pipelines and workflows • Implement automation to reduce manual intervention (auto-retries, self-healing workflows, standardized alerts) • Drive root cause analysis (RCA) and post-incident reviews to prevent recurring issues • Continuously improve pipeline reliability, performance, and cost efficiency • Mentor and upskill team members transitioning from SQL Server–centric workflows to Airflow, Spark, ELK stack, and distributed data systems • Create learning paths, documentation, and hands-on guidance for modern data tooling • Lead by example with hands-on troubleshooting, debugging, and operational support • Help establish a culture of ownership, quality, and continuous improvement within Data Operations • Work closely with Data Engineering, Platform, and Product teams to align on priorities and operational expectations • Serve as a bridge between legacy data systems and the modern data platform during the transition period • Provide feedback on operational gaps, tooling needs, and process improvements

Job Requirements

  • 8+ years of experience in data engineering, data platform operations, or data reliability roles
  • Hands-on experience operating data pipelines built on Airflow (or similar orchestrators) and Spark
  • Strong understanding of distributed data systems, batch processing, and failure modes at scale
  • Solid SQL skills and experience working with relational databases (e.g., SQL Server, Postgres)
  • Proven experience supporting production data pipelines with SLAs and on-call responsibilities
  • Experience with one of the Cloud platforms (AWS, GCP, or Azure)

Benefits

  • Work from anywhere in the US! Machinify is digital-first.
  • Full Medical/Dental/Vision for employees & their families
  • Flexible and trusting environment where you’ll feel empowered to do your best work
  • Unlimited FTO
  • Competitive salary, equity, 401(k) including employer match

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