Data Operations Tech Lead

We're seeking a skilledData Operations TechLeadto join our team!

We are a data-drivenorganization buildingandoperatinga growing analytics and data platform that supports critical business decisions. Our Data Operations team plays a key role in ensuring data pipelines are reliable, observable, and scalable as we evolve from legacy, SQL-centric systems to a modern cloud-based data stack. We value operational excellence, continuous improvement, and collaboration across engineering, platform, and product teams.

We are seeking aData Operations TechLeadto help lead the evolution of our Data Operations team as it expands from supporting legacy SQL-based pipelines to alsooperatingand supporting modern data pipelines built onAirflow and Spark.

This role is ideal for a technically strong, operationally minded leader who has experience running data pipelines at scale and enjoys building reliability, observability, and automation. You will serve as both a hands-on technical leader and a mentor, helping a team with strong SQL experience successfully transition to a modern data stack.

You will play a key role in defining how wemonitor, triage, and resolveTier 1 / Tier 2 data pipeline issues, while continuously improving the stability and operability of our platform.

Does this sound like the right opportunity to explore?...Letsconnect!

WhatYou'llDo

Technical Leadership & Operations

• Act as the technical lead for Data Operations, owning the operational readiness of modern data pipelines built onAirflow, Spark, and cloud data infrastructure

• Lead incident triage and resolution forTier 1 and Tier 2pipeline 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

Monitoring, Reliability & Automation

• 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

Team Enablement & Mentorship

• Mentor and upskill team members transitioning fromSQL Server-centric workflowstoAirflow, 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

• Helpestablisha culture of ownership, quality, and continuous improvement within Data Operations

Cross-Functional Collaboration

• 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

What you Bring

• 8+ years of experience in data engineering, data platform operations, or data reliability roles

• Hands-on experience operating data pipelines built onAirflow (or similar orchestrators)andSpark

• 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)

Operational & Automation Mindset

• Experience building monitoring, alerting, and incident response processes for data systems

• Strong troubleshooting skills across orchestration, compute, and data layers

• Passion for automation and reducing toil through tooling and process improvements

• Ability to prioritize operational stability while enabling team velocity

Leadership & Communication

• Experience leading or mentoring engineers in an operational or support-focused environment

• Ability to explain complex distributed system issues in clear, practical terms

• Comfortable working with teams of varying technical backgrounds

• Strong documentation and knowledge-sharing habits

• Familiarity with data quality frameworks, lineage, or observability tools

• Experience in healthcare, fintech, or other regulated environments

• Exposure to data reliability engineering (DRE) or SRE practices applied to data platforms

What We Offer

• Workfrom anywhere in the US!Machinifyis digital-first.

• Full Medical/Dental/Vision for employees & their families

• Flexible and trusting environment whereyou'llfeel empowered to do your best work

• Unlimited FTO

• Competitive salary, equity, 401(k) including employer match

The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. The base salary range for this role is $200k-$250k. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.