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Lead DataOps​/MLOps

Job in Philadelphia, Philadelphia County, Pennsylvania, 19113, USA
Listing for: Ladders
Full Time position
Listed on 2026-11-05
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 124500 - 170000 USD Yearly USD 124500.00 170000.00 YEAR
Job Description & How to Apply Below
Position: Lead DataOps / MLOps

For our client, we are seeking a Lead Data Ops / MLOps to join the team of a leader in the Finance & Insurance space.

This role will shape the operating model for data and machine learning pipelines, with a focus on reliability, standardization, and automation  will partner closely with data engineering and ML teams to strengthen deployment practices, improve orchestration, and support production-ready workflows. The position also plays a key role in governing the cloud-based data platform and driving better visibility into infrastructure usage and cost efficiency.

Location:

Remote

Compensation: $124,500 – $170,000 annually

Responsibilities
  • Own the Data Ops/MLOps platform and operating model for data and ML pipelines.
  • Lead CI/CD standards and pipelines in Azure Dev Ops for deployment automation.
  • Standardize orchestration processes using Dagster for pipeline management.
  • Operationalize ingestion and transformation stacks including dlt and dbt.
  • Establish foundations for MLOps with the ML engineering team using MLflow.
  • Administer and govern the Databricks Lakehouse environment on Azure.
  • Drive cost visibility and optimization across computing resources.
Qualifications
  • 8+ years in data, ML, or platform engineering, or in SRE/Dev Ops with production experience.
  • Demonstrated technical leadership in setting standards and mentoring engineers.
  • Strong CI/CD expertise using Azure Dev Ops for data pipelines and ML models.
  • Hands-on experience with orchestration tools like Dagster and modern data stacks.
  • MLOps experience with MLflow for model management and deployment.
  • Proficient in infrastructure-as-code and Azure platform administration.
  • Strong Python and SQL skills for automation.
Benefits
  • Comprehensive health, dental, and vision insurance.
  • Mental health support through employee assistance programs.
  • Variety of paid time off benefits including parental leave and cultural days.
  • 401(k) plan with company matching and pension contributions.
  • Wellbeing rewards program with cash incentives.

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

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