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Data Operations Jobs in Dallas, TX (NOW HIRING)

Noblesoft Technologies

Azure Data/Ops Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

This role bridges data engineering, cloud architecture, and DevOps practices to ensure efficient, secure, and reliable data workflows across the organization. Must Haves for this Opportunity

BravoTech

Data Management Manager

Dallas, TX · On-site

Establish operational excellence through SLAs, monitoring, incident management, and performance optimization. Partner with technology, architecture, and business stakeholders to align data strategy ...

Scalepex

Healthcare Data Analyst

Dallas, TX · On-site

You'll work closely with teammates, engineering partners, and operational stakeholders to troubleshoot issues, support EDI workflows, and continuously improve data processes. The ideal candidate ...

Scalepex

Healthcare Data Analyst

Dallas, TX · Remote

You'll work closely with teammates, engineering partners, and operational stakeholders to troubleshoot issues, support EDI workflows, and continuously improve data processes. The ideal candidate ...

Scalepex

Healthcare Data Analyst

Dallas, TX · On-site +1

You'll work closely with teammates, engineering partners, and operational stakeholders to troubleshoot issues, support EDI workflows, and continuously improve data processes. The ideal candidate ...

Mindsource Inc

AWS Data Engineer

Haltom City, TX · On-site

$100K - $121K/yr

We are seeking an experienced AWS Data Engineer to design, build, maintain, and optimize scalable cloud-based data platforms that support enterprise analytics, reporting, operational insights, and ...

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All JobsData Operations JobsData Operations Jobs in Dallas, TX

Data Operations information

See Dallas, TX salary details

$51.7K

$127.7K

$198.7K

How much do data operations jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data operations in Dallas, TX is $127,683.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,400.00 and $162,400.00 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 are the most commonly searched types of Data Operations jobs in Dallas, TX? The most popular types of Data Operations jobs in Dallas, TX are:
What are popular job titles related to Data Operations jobs in Dallas, TX? For Data Operations jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Data Operations jobs in Dallas, TX look for? The top searched job categories for Data Operations jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Data Operations jobs? Cities near Dallas, TX with the most Data Operations job openings:
Data Operations jobs near you
Infographic showing various Data Operations job openings in Dallas, TX as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 82% In-person, 5% Hybrid, and 13% Remote job distribution, with an average salary of $127,683 per year, or $61.4 per hour.

Azure Data/Ops Architect

Noblesoft Technologies

Dallas, TX • On-site

$62.75 - $81.75/hr

Contractor

Re-posted 25 days ago

Job description

Job Title: Azure Data/Ops Architect
Location: Dallas TX or San Francisco CA
 
Role/Responsibilities
We are seeking a highly skilled (Solution Architect) Azure Data/Ops Architect to lead the design and implementation of scalable, automated data operations on Microsoft Azure. This role bridges data engineering, cloud architecture, and DevOps practices to ensure efficient, secure, and reliable data workflows across the organization.
Must Haves for this Opportunity:
  • Experience as Solutions Architect
  • Experience with Data Opps Azure Architect
  • Experience managing End to End Data specific tower
  • Experience with Automation / Optimization (must have)
  • Experience with Azure Databricks
  • Experience with Azure Data Factory
  • Experience with PySpark
  • Experience Leading a team of 10 to 15 people onshore/ offshore mix (Leading, Mentoring, Managing)
  • Experience working within Retail environment.

Key Responsibilities:
  • Architect Azure-Based Data/Ops Solutions:
  • Design and implement end-to-end data pipelines using Azure Data Factory, Synapse Analytics, Azure Databricks, and other Azure services.
  • Develop CI/CD pipelines for data workflows using Azure DevOps and GitHub Actions.
  • Automation & Orchestration:
  • Automate data ingestion, transformation, and delivery processes.
  • Implement workflow orchestration using tools like Apache Airflow or Azure Logic Apps.
  • Monitoring & Optimization:
  • Set up monitoring and alerting for data pipelines using Azure Monitor and Log Analytics.
  • Optimize performance, cost, and scalability of data solutions.
  • Governance & Security:
  • Ensure data governance, lineage, and compliance using Azure Purview and role-based access control (RBAC).
  • Implement data security best practices including encryption, masking, and secure data sharing.
  • Collaboration & Leadership:
  • Work closely with data engineers, analysts, and business stakeholders to align data operations with business goals.
  • Promote Data/Ops culture and best practices across teams.

Required Qualifications:
  • Bachelor’s or master’s degree in computer science, Data Engineering, or related field.
  • 7+ years of experience in data engineering or cloud architecture.
  • Deep expertise in Azure services: Data Factory, Synapse, Databricks, Blob Storage, Azure SQL, Cosmos DB.
Strong understanding of DevOps principles and CI/CD tools