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Data Solutions Manager Jobs in Texas (NOW HIRING)

AWS Data Engineer

Haltom City, TX · On-site

$100K - $121K/yr

The successful candidate will develop and support enterprise-scale data solutions, manage data movement across multiple systems, optimize cloud data environments, and ensure the delivery of trusted ...

As a Sales Solution Manager, you will play a vital role in driving sales growth by developing and ... Capable of understanding and interpreting data to determine customer needs. * Self-starter that ...

$165K/yr

... Solutions Manager to join our team and serve as the bridge between our clients and our engineering organization. You'll take ownership of live client portfolios across Data OS and Insight OS, our ...

As a Sales Solution Manager, you will play a vital role in driving sales growth by developing and ... Capable of understanding and interpreting data to determine customer needs. * Self-starter that ...

## AVP, Solutions Data ArchitectureApplylocations: Edina, MN 55435: Virtual Office: Chicago, IL 60607 ... The role develops the Engineering Manager (EM) layer through regular coaching and performance ...

As a Sales Solution Manager, you will play a vital role in driving sales growth by developing and ... Capable of understanding and interpreting data to determine customer needs. * Self-starter that ...

We are seeking an experienced Manager, Data Engineering to lead end-to-end data management for a ... Partner with business stakeholders to translate requirements into scalable data solutions.

Showing results 41-60

Data Solutions Manager information

See Texas salary details

$28.9K

$90.5K

$160.2K

How much do data solutions manager jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data solutions manager in Texas is $90,505.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $116,900.00 per year, depending on experience, location, and employer.

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

AspectData Solutions ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, IT, or related fields; certifications like CDMP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentLeads teams, collaborates with stakeholders, manages data projectsAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare companies for data strategyCommon across various industries for data interpretation

The Data Solutions Manager focuses on overseeing data projects, managing teams, and aligning data strategies with business goals. In contrast, a Data Analyst primarily interprets data, creates reports, and supports decision-making. Both roles require strong analytical skills and data knowledge, but the manager role involves leadership and strategic planning, while the analyst role emphasizes data analysis and reporting.

What are the typical challenges faced by a Data Solutions Manager when implementing new data systems across multiple departments?

A Data Solutions Manager often encounters challenges such as aligning the differing data needs and priorities of various departments, ensuring seamless integration of new systems with existing infrastructure, and managing data security and compliance requirements. Effective communication and stakeholder management are crucial, as the role requires translating technical solutions into actionable strategies for non-technical teams. Additionally, balancing project timelines with resource constraints and fostering user adoption through training and support are common responsibilities that require strong leadership and organizational skills.

What does a Data Solutions Manager do?

A Data Solutions Manager oversees the design, development, and implementation of data-driven solutions within an organization. They work closely with teams to ensure data systems meet business needs, manage data projects, and coordinate between technical and business stakeholders. Their responsibilities typically include leading data strategy, ensuring data quality and security, and driving innovation through effective data utilization. This role requires strong leadership, technical expertise, and a deep understanding of how data can support business objectives.

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

To thrive as a Data Solutions Manager, you need expertise in data management, analytics, and project leadership, usually backed by a degree in computer science or a related field. Familiarity with data warehousing tools, cloud platforms (like AWS or Azure), and certifications such as Certified Data Management Professional (CDMP) are highly valued. Strong communication, problem-solving, and stakeholder management skills help you translate business needs into effective data solutions. These skills are essential for delivering scalable, secure, and actionable data systems that drive organizational success.

What are the most commonly searched types of Data Solutions jobs in Texas?

The most popular types of Data Solutions jobs in Texas are:

What cities in Texas are hiring for Data Solutions Manager jobs?

Cities in Texas with the most Data Solutions Manager job openings:

Infographic showing various Data Solutions Manager job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 11% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $90,505 per year, or $43.5 per hour.

Solutions Architect IV - Data Analytics

Integer Holdings Corporation

Plano, TX • On-site

Full-time

Re-posted 13 days ago


Integer Holdings rating

7.4

Company rating: 7.4 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

296th of 540 rated manufacturers


Job description

Job Summary:
Integer Holdings Corporation is focused on creating a unified culture that embraces uniqueness for long-term success. They are seeking a Solutions Architect IV specializing in Data Analytics to engage with stakeholders, define data architecture best practices, and develop solutions for the Data & Analytics tech stack.
Responsibilities:
• Engage in and facilitate stakeholder discussions to understand, analyze and document business requirements, business processes, and technical specifications (including system architecture documentation)
• Define and implement data architecture best practices, including data modeling, pipeline orchestration, transformation logic, and visualization standards.
• Configure, develop and support applications used on our Data & Analytics tech stack
• Design and specify integrations between solutions collaborating with stakeholders and other IT teams
• Create / review test plans and scripts; Conduct / participate in testing the solution to ensure the solution meets functional and technical requirements
• Liaise with business users and support/resolve system issues
• Lead system maintenance (review application patch, document test plan, and execute test scripts)
• Participate in the process for collection of requirements and writing of validation documents
• Follow Integer standards for validation, project management and SDLC
• Participate in and contribute to status and planning meetings
• Effectively communicate status, issue escalations & resolutions, and other events as required to all levels of Manufacturing and IT
• Schedule and facilitate meetings, document action items, follow-up to drive resolution
• Create presentations to help communicate complex technical, organizational, and project concepts and status
• Research and advise on the best technologies to leverage and / or approach to take in developing a system architecture or upgrades to install
• Capacity to see the big picture, develop plans and architectures with a global mindset
• Ability to account for project challenges on constraints including, risk, time, resources and scope
• Assist in the development of solutions roadmaps
• Work with the Data & Analytics team on data ingestion strategies for the new Data Lake (using ETL tools, flat file processing etc.).
• Develop and maintain data management standards including documentation of current data sources, transformations and report specifications.
• Design scalable and performant data integration workflows using Azure Data Factory (ADF).
• Oversee the setup, optimization, and usage of Snowflake as a cloud data warehouse platform.
• Develop enterprise BI dashboards, KPIs, and reports using Microsoft Power BI, adhering to best practices for performance, usability, and governance.
Qualifications:
Required:
• Engage in and facilitate stakeholder discussions to understand, analyze and document business requirements, business processes, and technical specifications (including system architecture documentation)
• Define and implement data architecture best practices, including data modeling, pipeline orchestration, transformation logic, and visualization standards.
• Configure, develop and support applications used on our Data & Analytics tech stack
• Design and specify integrations between solutions collaborating with stakeholders and other IT teams
• Create / review test plans and scripts; Conduct / participate in testing the solution to ensure the solution meets functional and technical requirements
• Liaise with business users and support/resolve system issues
• Lead system maintenance (review application patch, document test plan, and execute test scripts)
• Participate in the process for collection of requirements and writing of validation documents
• Follow Integer standards for validation, project management and SDLC
• Participate in and contribute to status and planning meetings
• Effectively communicate status, issue escalations & resolutions, and other events as required to all levels of Manufacturing and IT
• Schedule and facilitate meetings, document action items, follow-up to drive resolution
• Create presentations to help communicate complex technical, organizational, and project concepts and status
• Research and advise on the best technologies to leverage and / or approach to take in developing a system architecture or upgrades to install
• Capacity to see the big picture, develop plans and architectures with a global mindset
• Ability to account for project challenges on constraints including, risk, time, resources and scope
• Assist in the development of solutions roadmaps
• Work with the Data & Analytics team on data ingestion strategies for the new Data Lake (using ETL tools, flat file processing etc.).
• Develop and maintain data management standards including documentation of current data sources, transformations and report specifications.
• Design scalable and performant data integration workflows using Azure Data Factory (ADF).
• Oversee the setup, optimization, and usage of Snowflake as a cloud data warehouse platform.
• Develop enterprise BI dashboards, KPIs, and reports using Microsoft Power BI, adhering to best practices for performance, usability, and governance.
• Bachelor’s Degree in computer science, information systems or business administration
• 3-5 years hands-on experience in the analysis, planning, designing, configuring, testing, deploying, and administration of a BI and Data Analytics solutions
• Experience with relational database concepts and flat file processing concepts
• 3-5 years of Microsoft Power BI experience is required
• 3 years of experience with using ERP systems (preferably Oracle) as a source for data & analytics solutions
• Experience in working with business stakeholders to understand business priorities and requirements
• Modeling - Able to represent information using a combination of graphical and textual elements; able to choose the correct type of model for a set of information, depending on the type of information to be communicated as well as the audience who will consume the information.
• Requirements Analysis – Able to prioritize and elaborate stakeholder and solution requirements to meet the needs of the sponsoring organization and stakeholders.
• Relationship Management – Able to quickly create relationships and partnerships with stakeholders; be comfortable in a challenger role that, at times, requires building constructive tension in interactions.
• Understanding of Microsoft Power BI and/or other similar data visualization platforms
• Passion for data and analytics, translating data into insights, decisions, and actions
• Ability to understand and communicate the business impact of data analysis and recommendations. Desire to understand the “why” behind the numbers and able to simply explain complex analytical models.
• Change management skills and ability to operate effectively in fast paced environment
• SDLC and Project Management skills; familiarity with basic PM and SDLC methodologies
• Able to work with cross-functional teams to drive and influence changes and improvements
• Excellent written, verbal, team and presentation skills
• Ability to clearly communicate technical concepts to both technical and non-technical users
• Able to work in a team environment that includes other architects / analysts, developers, and QA team
• Ability to lead change and motivate cross-functional teams to achieve tactical and strategic goals
• Self-starter, self-managed, quick learner, open-minded, problem-solver with a positive, collaborative, and team-based attitude
• Periodic travel is required
Preferred:
• Snowflake (Cloud Data Warehouse) experience is preferred
• Azure Data Factory and SAP Analytics Cloud experience is preferred
Company:
Integer Holdings Corporation (NYSE: ITGR) is one of the largest medical device contract development and manufacturing organizations (CDMOs) in the world, serving the cardio and vascular, neuromodulation, and cardiac rhythm management markets. Founded in 2000, the company is headquartered in Wilmington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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