Machinify · 15 hours ago
Data Operations Tech Lead
United States
Full-time
Remote
Senior Level, Lead/Staff
$200K/yr - $250K/yr
8+ years expMachinify is a leading healthcare intelligence company focused on delivering value and efficiency to health plan clients. They are seeking a Data Operations Tech Lead to oversee the transition from legacy SQL-based data pipelines to modern cloud-based systems, ensuring operational excellence and reliability in data processing.
Artificial Intelligence (AI)SaaSBig DataAnalyticsBusiness IntelligenceMachine LearningPredictive Analytics
Responsibilities
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
Qualification
Required
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)
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
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
Benefits
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
Company
Machinify
Machinify is a SaaS platform that enables non-technical enterprises to build AI-powered products and processes.
1001-5000 employees
H1B Sponsorship
Machinify has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (12)
2024 (6)
2023 (3)
2022 (3)
2021 (4)
2020 (5)
Funding
Current Stage
Late StageTotal Funding
$12.79MKey Investors
Battery Ventures
2025-01-10Acquired
2018-10-08Series A· $10M
2016-03-15Seed· $2.79M
Leadership Team
Prasanna Ganesan
CTO & Board Member
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