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Data Ops Manager Jobs (NOW HIRING)

Carta

Data Operations Analyst

Sandy, UT · On-site

Keep detailed documentation of client interactions to identify trends and drive operational and process improvements for the data ops team and the product teams. * Project Management: Treat every ...

Deloitte

Data Analytics Manager- Data Lake

Detroit, MI · On-site

We serve as a trusted advisor and managed service provider bringing a mix of capability and capacity across security data modernization, data ops, AI, and ML, and the use of these disciplines towards ...

Deloitte

Data Analytics Manager- Data Lake

Austin, TX · On-site

We serve as a trusted advisor and managed service provider bringing a mix of capability and capacity across security data modernization, data ops, AI, and ML, and the use of these disciplines towards ...

SAIC

Data Ops Engineer VFDE

San Diego, CA · On-site

$200K - $240K/yr

Support the incident management process to ensure that incidents are documented and resolved quickly. Perform root cause analysis to understand and * prevent repeated occurrences of data outages.

Deloitte

Data Analytics Manager- Data Lake

Miami, FL

We serve as a trusted advisor and managed service provider bringing a mix of capability and capacity across security data modernization, data ops, AI, and ML, and the use of these disciplines towards ...

Deloitte

Data Analytics Manager- Data Lake

Austin, TX · On-site

We serve as a trusted advisor and managed service provider bringing a mix of capability and capacity across security data modernization, data ops, AI, and ML, and the use of these disciplines towards ...

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Data Ops Manager information

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$31K

$97.1K

$172K

How much do data ops manager jobs pay per year?

As of May 30, 2026, the average yearly pay for data ops manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Ops Manager, and why are they important?

To excel as a Data Ops Manager, you need a deep understanding of data management, analytics workflows, and process automation, often supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, cloud platforms (AWS, Azure), and orchestration systems such as Apache Airflow is typically required, along with certifications in data management or cloud services. Strong leadership, problem-solving, and communication skills help coordinate cross-functional teams and drive data initiatives. These competencies are crucial for ensuring data reliability, optimizing data pipelines, and enabling data-driven decision-making across the organization.

What are some common challenges faced by Data Ops Managers, and how can they be addressed?

Data Ops Managers often encounter challenges such as coordinating across multiple teams, ensuring data quality, and managing fast-evolving data pipelines. Success in this role requires strong communication skills to align stakeholders, robust processes for monitoring data workflows, and the ability to quickly troubleshoot issues when data delivery is disrupted. Adopting automation tools and fostering a culture of continuous improvement can help Data Ops Managers maintain reliable, scalable systems while supporting organizational data needs.

What are Data Ops Managers?

Data Ops Managers are professionals responsible for overseeing the processes, tools, and teams involved in managing and optimizing data operations within an organization. They ensure the smooth flow, quality, and accessibility of data across various platforms and departments. Their role often includes automating data pipelines, implementing data governance practices, and collaborating with data engineers, analysts, and business stakeholders to support data-driven decision making.

What is the difference between Data Ops Manager vs Data Engineer?

AspectData Ops ManagerData Engineer
Primary FocusOversees data operations, workflows, and process optimizationBuilds, constructs, and maintains data pipelines and infrastructure
Required SkillsData management, process improvement, team coordinationProgramming, database systems, ETL development
CertificationsData management, cloud certifications often preferredSQL, cloud platform certifications, programming languages
Work EnvironmentCollaborates with data teams, operations, and business unitsWorks closely with data scientists, analysts, and developers

While both roles involve working with data, the Data Ops Manager focuses on managing data workflows and operational efficiency, whereas the Data Engineer concentrates on building and maintaining data infrastructure. Understanding these differences helps in choosing the right career path or hiring the appropriate professional for your data needs.

More about Data Ops Manager jobs
What cities are hiring for Data Ops Manager jobs? Cities with the most Data Ops Manager job openings:
What are the most commonly searched types of Data Ops jobs? The most popular types of Data Ops jobs are:
What states have the most Data Ops Manager jobs? States with the most job openings for Data Ops Manager jobs include:
What job categories do people searching Data Ops Manager jobs look for? The top searched job categories for Data Ops Manager jobs are:
Data Ops Manager jobs near you
Infographic showing various Data Ops Manager job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 96% Full Time, 1% Temporary, and 2% Contract. Highlights an 13% Physical, 13% Hybrid, and 74% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Senior Cloud Data Ops Engineer

Senior Cloud Data Ops Engineer

Granite Telecommunications

Quincy, MA • On-site

$140K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 19 days ago

Granite Telecommunications rating

8.2

Company rating: 8.2 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

15th of 76 rated telecommunications companies

Job description

Summary of Position:
he Cloud Data Ops team is hiring a Senior Cloud DBA & Data Platform Engineer who brings deep, hands-on DBA expertise across SQL Server, Postgres (w/Timescale) and Oracle, combined with strong cloud-native skills in GCP and AWS. This role is responsible for performance tuning, cloud platform operations, automation, and ensuring the reliability of mission-critical relational and time-series data systems across multiple clouds.
Duties and Responsibilities:
Core DBA Responsibilities (SQL Server • Postgres • Oracle • TimescaleDB)
  • Perform advanced DBA duties including installation, configuration, patching, backup/restore, HA/DR,
    and security hardening across SQL Server, Postgres, Oracle, and TimescaleDB.
  • Diagnose and tune performance using execution plans, indexing strategies, wait event analysis, and I/O
    profiling.
  • Optimize relational and time series workloads, including hypertables, chunk management, retention
    policies, and compression strategies in TimescaleDB.
  • Implement schema changes, index strategies, and query rewrites to improve workload efficiency.
  • Support database lifecycle management across on prem, GCVE, and cloud native platforms
  • Partner with application, analytics, and engineering teams to optimize database driven workloads.

Cloud Native Data Platform Operations (GCP & AWS)
  • Operate and optimize workloads on CloudSQL, BigQuery, AWS RDS/Aurora, and GCVE hosted SQL
    Server.
  • Apply DBA fundamentals to cloud native services, ensuring performance, reliability, and cost efficiency.
  • Support migrations from on prem/VM based SQL Server, Oracle, and Postgres to managed cloud
    services.
  • Implement observability across cloud platforms (Cloud Monitoring, CloudWatch, logs, metrics, traces).
  • Participate in multi cloud operational readiness, incident response, and performance engineering.

Linux & Systems Engineering
  • Manage and troubleshoot Linux based Postgres, TimescaleDB, and Oracle environments.
  • Perform system level tuning (CPU, memory, I/O, kernel parameters) to support database performance.
  • Support containerized and orchestrated environments (Docker, EKS, GKE) where applicable.

Automation & Cloud Data Ops Engineering
  • Automate DBA and operational tasks using bash, PowerShell, or Python.
  • Contribute to CI/CD workflows and infrastructure automation (Terraform preferred).
  • Improve reliability through scripting, monitoring, alerting, and self service tooling.
  • Participate in on call rotations for critical data systems.

Required Qualifications:
  • Strong, hands on DBA experience with SQL Server, Postgres, Oracle, and TimescaleDB.
  • Deep proficiency in SQL, performance tuning, indexing, execution plan analysis, and workload
    optimization.
  • Experience operating databases in GCP (CloudSQL, BigQuery, GCE/GCVE) and/or AWS (RDS/Aurora).
  • Solid Linux skills, including bash scripting and system level troubleshooting.
  • Familiarity with observability and monitoring tools (pg_stat views, Query Store, Cloud Monitoring, CloudWatch, Zabbix, Datadog, etc.).
  • Ability to support mission critical production systems in a multi cloud environment.
  • Strong understanding of DBA fundamentals applied in cloud native and time series contexts.

Preferred Qualifications:
  • Experience with Terraform, Azure DevOps (ADO), or other CI/CD/IaC tooling.
  • Exposure to EKS, GKE, or other Kubernetes platforms.
  • Familiarity with Docker and containerized database operations.
  • Experience with OCI or Oracle Cloud services.
  • Background in cloud migration, modernization, or hybrid cloud architectures

Compensation Range:
The compensation range for this position is $140,000-$180,000 and represents the range that Granite reasonably and in good faith expects to pay for this role at the time of posting. This position is eligible for bonus. Final compensation will be determined based on several factors, including but not limited to experience, education, job related skills, and overall alignment with the role.
#LI-SR1
Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.
Granite has been recognized by the Boston Business Journal as one of the "Healthiest Companies" in Massachusetts for the past 15 consecutive years.
Our offices have onsite fully equipped state of the art gyms for employees at zero cost.
Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few.
We have been consistently rated a "Fastest Growing Company" by Inc. Magazine.
Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024.
Granite was recently named One of Forbes Best Employers for Diversity.
Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more.
If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.
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