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Data Systems Manager Jobs in Allen, TX (NOW HIRING)

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Build, optimize, and manage data platforms on Databricks and/or Snowflake * Write clean, efficient ... Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical ...

Data Engineer

Addison, TX · On-site

$95K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... data systems. They guide stakeholders, Product Owners, and Software Engineers through the design ... management • 8+ years of hands-on data engineer/software development • Ability to switch from ...

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Data analyst responsibilities include conducting full lifecycle analysis to include requirements ... Systems Manager * Skilled in Amazon Web Services (AWS) offerings, development, and networking ...

Data Engineer

Dallas, TX

$113K - $136K/yr

Data analyst responsibilities include conducting full lifecycle analysis to include requirements ... Systems Manager * Skilled in Amazon Web Services (AWS) offerings, development, and networking ...

Data Engineer

Dallas, TX · On-site

$60 - $65/hr

... data systems to adapt to changing business requirements, ensuring scalability, efficiency, and accuracy across analytics platforms. Responsibilities * Design, assemble, and manage large, complex ...

Manager - Data Engineering

Irving, TX · On-site

$106K - $127K/yr

  • Retirement

Contribute to the evolving distributed systems architecture to meet changing requirements for ... years management experience with data engineering team preferred * High School Diploma or ...

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

... manage data platforms on Databricks and/or Snowflake • Write clean, efficient, and production ... systems • Monitor, troubleshoot, and optimize existing pipelines, workflows, and database ...

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

... manage data platforms on Databricks and/or Snowflake • Write clean, efficient, and production ... systems • Monitor, troubleshoot, and optimize existing pipelines, workflows, and database ...

... systems required for data storage, processing, and analysis. · Play a crucial role in building and ... managing the data pipelines that enable efficient and reliable data integration, transformation ...

Data Architect

Dallas, TX · On-site

$63 - $81/hr

Integrate ERP, CRM, and operational systems into unified Lake/Lakehouse architectures. * Establish ... Master Data Management (MDM) & Canonical Entity Design * Define canonical entities (Customer ...

Showing results 41-60

Data Systems Manager information

See Allen, TX salary details

$42.8K

$104.2K

$183.2K

How much do data systems manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data systems manager in Allen, TX is $104,175.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $126,500.00 per year, depending on experience, location, and employer.

What is a data systems manager?

Data Systems Managers are professionals responsible for overseeing the design, implementation, and maintenance of an organization's data management systems. They ensure that data storage, retrieval, and security processes run smoothly, supporting business operations and decision-making. Typically, they manage teams of IT specialists, coordinate with other departments, and stay updated with evolving technologies. Their role is critical for ensuring the accuracy, accessibility, and security of organizational data.

What are the key skills and qualifications needed to thrive as a data systems manager?

To excel as a Data Systems Manager, you need expertise in database management, data architecture, and systems integration, often supported by a degree in information technology or computer science. Familiarity with SQL, cloud platforms (such as AWS or Azure), and certifications like Certified Data Management Professional (CDMP) are highly valuable. Strong leadership, problem-solving abilities, and effective communication distinguish top performers in this role. These competencies ensure that data systems are secure, efficient, and aligned with organizational goals, enabling informed decision-making.

What are some common challenges faced by data systems managers when integrating new technologies into existing data infrastructure?

Data Systems Managers often encounter challenges such as ensuring compatibility between legacy systems and new technologies, minimizing downtime during migration, and maintaining data integrity throughout the integration process. They also need to coordinate closely with IT, security, and business teams to align technology upgrades with organizational goals and compliance requirements. Effective change management and thorough testing are crucial to address these challenges and ensure a smooth transition.

What is the difference between Data Systems Manager vs Data Analyst?

AspectData Systems ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like Cisco, Microsoft, or cloud certificationsBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel, Tableau, or SQL
Work EnvironmentIT departments, data management teams, enterprise environmentsBusiness units, marketing, finance, data visualization teams
Employer & Industry UsageTech companies, large corporations, government agenciesMarketing firms, finance companies, consulting agencies

The Data Systems Manager oversees data infrastructure, ensuring systems run efficiently, while the Data Analyst interprets data to provide insights. Both roles require technical skills, but the manager focuses on system management, whereas the analyst emphasizes data analysis and reporting.

What cities near Allen, TX are hiring for Data Systems Manager jobs?

Cities near Allen, TX with the most Data Systems Manager job openings:

Infographic showing various Data Systems Manager job openings in Allen, TX as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $104,175 per year, or $50.1 per hour.

$110K - $132K/yr

Other

Posted 6 days ago


Job description

Ascentt is transforming the future of manufacturing through advanced Data Analytics, AI/ML, and Generative AI solutions. We partner with global manufacturing enterprises to convert complex industrial data into actionable, real-time business insights. Our teams work on scalable, high-impact engineering challenges across cloud, data, and intelligent automation ecosystems. If you are passionate about innovation, solving complex problems, and building next-generation data platforms, Ascentt offers an exciting opportunity to create real-world impact at scale.
We are looking for a passionate and highly motivated Data Engineer to join our growing data team. In this role, you will work on building scalable data platforms, optimizing large-scale data pipelines, and enabling data-driven decision-making across the organization. You will collaborate closely with Data Scientists, Analysts, and business stakeholders to develop modern cloud-based data solutions using technologies such as Databricks, Snowflake, PySpark, SQL, and Python. If you enjoy solving complex data challenges and working in a fast-paced, innovative environment, we'd love to connect with you.
Key Responsibilities:
  • Design, build, and maintain scalable ETL/ELT pipelines for processing large volumes of structured and unstructured data
  • Develop high-performance data processing solutions using PySpark and distributed computing frameworks
  • Build, optimize, and manage data platforms on Databricks and/or Snowflake
  • Write clean, efficient, and production-ready SQL queries and Python code for data transformation, automation, and analytics
  • Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product teams, and Business stakeholders to deliver data-driven solutions
  • Ensure data quality, governance, integrity, scalability, and reliability across enterprise data systems
  • Monitor, troubleshoot, and optimize existing pipelines, workflows, and database performance
  • Implement best practices around coding standards, testing, CI/CD, version control, and technical documentation

Required Skills & Qualifications:
  • 2-5 years of experience in Data Engineering or related roles
  • Strong hands-on experience with Databricks and/or Snowflake
  • Proficiency in SQL and Python programming
  • Practical experience with PySpark and distributed data processing
  • Solid understanding of Data Warehousing, ETL/ELT concepts, and Data Modeling
  • Experience working with large-scale datasets in cloud-based environments
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field

Preferred Skills:
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
  • Familiarity with orchestration and transformation tools such as Airflow, dbt, or Azure Data Factory (ADF)
  • Knowledge of Git, CI/CD pipelines, and DevOps best practices
  • Exposure to Delta Lake, Lakehouse architecture, Kafka, Spark Streaming, or real-time data processing
  • Experience working in Agile/Scrum environments is a plus