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Data Automation Lead Jobs (NOW HIRING)

$100K/yr

As the Finance AI & Automation Lead (Consultant), you will architect and ship AI driven systems ... Eventdriven data pipelines from ERP and financial systems into cloud warehouses (Snowflake/BigQuery ...

Identify process inefficiencies and lead implementation of automation virtualization opportunities ... Understanding of Vehicle Electrical Architecture (e.g., VIP, SDV) and serial data buses including ...

In this role, you will lead construction automation efforts for complex projects, using database ... Tests and supports data integration of new releases of production software/programs​ * Customizes ...

... data across its lifecycle, providing enhanced intelligence and actionable insights. Leading ... You will lead a high-performing automation team, partner closely with development, product ...

AI Workflow Automation Lead Position Summary The Enterprise Risk AI Workflow Automation Lead is a ... data, interact with internal platforms, approved plugins and connectors, and use LLM APIs and ...

AI Workflow Automation Lead Position Summary The Enterprise Risk AI Workflow Automation Lead is a ... data, interact with internal platforms, approved plugins and connectors, and use LLM APIs and ...

QA Automation Lead

Centennial, CO · On-site

$150K - $180K/yr

... data across its lifecycle, providing enhanced intelligence and actionable insights. Leading ... You will lead a high-performing automation team, partner closely with development, product ...

QA Automation Lead

Englewood, CO · On-site

$150K - $180K/yr

... data across its lifecycle, providing enhanced intelligence and actionable insights. Leading ... You will lead a high-performing automation team, partner closely with development, product ...

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How much do data automation lead jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for data automation lead in the United States is $56.94, according to ZipRecruiter salary data. Most workers in this role earn between $41.83 and $71.39 per hour, depending on experience, location, and employer.

What is the difference between Data Automation Lead vs Data Engineer?

AspectData Automation LeadData Engineer
Primary FocusOversees automation processes, streamlines data workflows, and manages automation toolsBuilds and maintains data pipelines, databases, and infrastructure
Skills & CertificationsAutomation tools, scripting, project management, certifications like AWS or AzureSQL, ETL, cloud platforms, programming languages like Python or Java
Work EnvironmentLeadership roles in data teams, project coordination, cross-functional collaborationTechnical development, coding, infrastructure setup

While both roles require data-related skills, the Data Automation Lead focuses on managing automation processes and team coordination, whereas the Data Engineer concentrates on building data systems and pipelines. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What cities are hiring for Data Automation Lead jobs? Cities with the most Data Automation Lead job openings:
What states have the most Data Automation Lead jobs? States with the most job openings for Data Automation Lead jobs include:
Infographic showing various Data Automation Lead job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $118,445 per year, or $56.9 per hour.
Innovation and Automation Lead

Innovation and Automation Lead

Accenture Federal Services

Arlington, VA • On-site

Other

Posted 22 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

46th of 425 rated business services


Job description

As the Automation Lead, you will be at the heart of driving efficiency and innovation across a data platform. You will lead a specialized team responsible for building the core automation frameworks, CI/CD pipelines, and reusable patterns that all other engineering teams will leverage. This is a hands-on leadership role where you will not only set the technical strategy for automation but also contribute directly to the development of foundational tools. Your mission is to eliminate manual toil, enforce quality, and accelerate the delivery of mission-critical data capabilities.

Responsibilities:

  • Lead, mentor, and manage a team of automation engineers, fostering a culture of innovation and excellence.
  • Design, build, and maintain robust, scalable CI/CD pipelines for data engineering, software, and MLOps workflows.
  • Develop and own the strategy for Infrastructure-as-Code (IaC), creating and managing a library of reusable Terraform modules for consistent environment provisioning.
  • Architect and implement automated solutions for testing, monitoring, and alerting to ensure the reliability of our data platforms and pipelines.
  • Champion automation best practices across all engineering teams, providing guidance and developing templates to ensure adoption.
  • Collaborate closely with Data Engineering, Data Products, and AI/ML teams to understand their needs and deliver automation solutions that accelerate their work.
  • Evaluate, prototype, and recommend new automation technologies and tools to continuously improve our development and operational capabilities.
  • Script and automate complex, repetitive tasks to improve team efficiency and reduce the potential for human error.

Must have: 

  • 5+ years of experience in DevOps, Site Reliability Engineering (SRE), or automation-focused software/data engineering.
  • At least 2 years of experience in a technical leadership, team lead, or mentorship capacity.
  • Expert-level, hands-on experience with Infrastructure-as-Code (IaC) tools, particularly Terraform.
  • Deep expertise in designing and implementing CI/CD pipelines using tools like GitLab CI, Jenkins, or GitHub Actions.
  • Strong scripting and programming skills, with expert proficiency in Python.
  • Proven experience working in a cloud environment (AWS, Azure). 
  • US Citizenship (No Dual Citizenship).

Nice to have:

  • Experience building automation specifically for data platforms like Databricks or Snowflake.
  • Familiarity with MLOps principles and tools (e.g., MLflow, Kubeflow).
  • Experience with containerization and orchestration technologies (Docker, Kubernetes).
  • Experience working in a high-security DoD or Intelligence Community environment.

Security Clearance:

  • Active TS or TS/SCI clearance

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