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Data Operations Jobs (NOW HIRING)

They are seeking a Manager, Data Operations to oversee Azure Data Lake pipelines and ensure operational stability, while managing a team of MSP resources. Responsibilities : • Lead and manage ...

Data Operations Engineer

Sunnyvale, CA · Remote

$136K - $163K/yr

Data Operations Engineer Remote 12+ contract to hire. Unable to sponsor now or later. The Data Operations team enables seamless data usage across the company by building scalable, high-quality data ...

Posted today

They are seeking a Manager, Data Operations to oversee Azure Data Lake pipelines, ensuring platform stability and reliability while managing a team of Managed Service Providers. This role involves ...

Data Operations Engineer

Austin, TX · On-site

$68K - $93K/yr

Data Operations Engineer Location: Austin, TX 6 MOnths Role: Data Operations Engineer o As data operations engineer, you will collaborate with various infrastructure teams, platforms, product ...

We are looking for a Data Operations Lead to ensure the reliability, scalability, and operational excellence of our analytics and data systems. This role is operationally critical and technically ...

The Manager, Data Operations will oversee Azure Data Lake operations, ensuring platform stability and managing service provider resources to deliver optimal performance. Responsibilities : • Lead ...

The Manager, Data Operations will lead and manage resources for Azure Data Lake operations, ensuring platform stability, monitoring performance, and overseeing operational documentation.

They are seeking a Manager, Data Operations to oversee Azure Data Lake pipelines, ensuring platform stability and managing operational support activities. Responsibilities : • Lead and manage ...

They are seeking a Manager, Data Operations to oversee Azure Data Lake operations, ensuring platform stability and managing technical issues while leading a team of Managed Service Providers.

The Manager, Data Operations will oversee day-to-day monitoring of Azure Data Lake pipelines, ensure platform stability, and manage service level agreement performance while collaborating with cross ...

$119K - $143K/yr

We are seeking a Data Operations Engineer to join our Data Engineering team under our Technology department. Using your creative problem solving skills, methodical attention to detail, and ...

They are seeking a Manager, Data Operations to oversee Azure Data Lake operations, ensuring platform stability and managing day-to-day activities of Managed Service Provider resources.

The Data Operations Analyst will join the Technology function, solving complex data problems for the Revecore Data Platform. The ideal candidate will contribute to platform and automation ...

The GTM Data Operations Manager owns the operational health, governance, and integrity of customer and prospect data across the company's go-to-market systems. The role is responsible for ensuring ...

Data Operations Analyst We are looking for an eager and motivated Data Operations Analyst to join our Data Operations team. At Hive, our DataOps team is responsible for supporting the development of ...

Data Operations Analyst We are looking for an eager and motivated Data Operations Analyst to join our Data Operations team. At Hive, our DataOps team is responsible for supporting the development of ...

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Data Operations information

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$52K

$128.5K

$200K

How much do data operations jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data operations in the United States is $128,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $163,500.00 per year, depending on experience, location, and employer.

What is a data operations?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

What is the role of data operations?

Data operations involve managing, processing, and maintaining data to ensure its accuracy, availability, and security for organizational use. Professionals in this role often work with data management tools, databases, and automation processes to support data-driven decision-making.

What types of teams and departments does data operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.

What are the key skills and qualifications needed to thrive in data operations, and why are they important?

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

What cities are hiring for Data Operations jobs? Cities with the most Data Operations job openings:
What are the most commonly searched types of Data Operations jobs? The most popular types of Data Operations jobs are:
What states have the most Data Operations jobs? States with the most job openings for Data Operations jobs include:
Infographic showing various Data Operations job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $128,526 per year, or $61.8 per hour.

Manager, Data Operations

KPMG US

Cleveland, OH • On-site

Full-time

Re-posted 17 days ago


Job description

Job Summary:
KPMG is a leading provider of audit, tax, and advisory services. They are seeking a Manager, Data Operations to oversee Azure Data Lake pipelines and ensure operational stability, while managing a team of MSP resources.
Responsibilities:
• Lead and manage Managed Service Provider (MSP) resources; responsible for day-to-day monitoring of Azure Data Lake pipelines and operational support activities
• Ensure platform stability and reliability through proactive monitoring, effective incident response, and timely resolution of technical issues
• Own service level agreement (SLA) performance by tracking operational metrics, addressing breaches, and driving corrective actions as required
• Oversee end-to-end data operations monitoring and communicate platform performance, risks, and issues to stakeholders
• Maintain and govern operational documentation, including platform design artifacts, configuration standards, and troubleshooting procedures
• Serve as the primary escalation point for operational issues, collaborating with cross functional teams while providing coaching and guidance to technical staff
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
Required:
• Minimum five years of recent experience managing data operations, including data pipeline monitoring and incident response, with strong knowledge of Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, and Generative and Agentic AI concepts
• Experience leading and overseeing Managed Service Provider (MSP) teams across multiple time zones
• Strong ability to develop and maintain clear, comprehensive technical and operational documentation
• Demonstrated success meeting SLAs and performance metrics, with a continuous improvement mindset and ability to translate platform insights into actionable improvements
• Strong communication and collaboration skills, with experience supporting strategic planning and cross functional stakeholders
• Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
Preferred:
• Bachelor's degree from an accredited college or university is preferred
Company:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 2010, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.