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Tech Data Jobs in Arizona (NOW HIRING)

We combine advanced business management technology with personalized consulting to provide ... Reporting to the Manager of Data Product Management, this role translates business needs into ...

Data Solutions Engineer

Tempe, AZ ยท On-site

$98K - $160K/yr

As Paychex and Paycor come together, we're combining innovative technology, data-driven insights, AI, and human expertise to help organizations work smarter, support their people, and achieve better ...

Data Solutions Engineer

Tempe, AZ ยท On-site +1

$91K - $156K/yr

As Paychex and Paycor come together, we're combining innovative technology, data-driven insights, AI, and human expertise to help organizations work smarter, support their people, and achieve better ...

This role partners closely with Product Owners, Technology, Data Quality, Architecture, and Business stakeholders to ensure scalable, compliant, and user-centric data governance solutions. You will ...

This role partners closely with Product Owners, Technology, Data Quality, Architecture, and Business stakeholders to ensure scalable, compliant, and user-centric data governance solutions. You will ...

Applicants for this posting will be considered for a data scientist opening in Enterprise Technology - Data & AI (ET-D&AI). This area provides data science support for internal business partners at ...

Partner with IT, data engineering, and business teams to ensure end to end project delivery ... execution. * Mentor and grow a team of AI, data scientists and machine learning engineers.

Partner with IT, data engineering, and business teams to ensure end to end project delivery & execution. * Mentor and grow a team of AI, data scientists and machine learning engineers. * Represent ...

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Tech Data information

See Arizona salary details

$11

$21

$32

How much do tech data jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for tech data in Arizona is $21.29, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $25.34 per hour, depending on experience, location, and employer.

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

To thrive as a Tech Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or computer science, often supported by a relevant degree. Familiarity with tools like SQL, Python, Excel, and data visualization platforms such as Tableau or Power BI, along with certifications in data analytics, is commonly required. Exceptional attention to detail, problem-solving ability, and effective communication are standout soft skills for this role. These skills and qualities are critical for transforming complex data into actionable insights that drive business decisions.

What jobs make $1,000,000 a year?

In the tech industry, high-level executive roles such as Chief Executive Officer (CEO), Chief Technology Officer (CTO), and other C-suite positions can earn over $1 million annually, especially in large corporations or successful startups. Additionally, top software entrepreneurs, highly successful investors, and certain specialized roles like hedge fund managers or tech founders may reach this income level, often through equity, bonuses, and profit sharing. These positions typically require extensive experience, leadership skills, and often involve stock options or ownership stakes.

Is Tech Data a good company to work for?

Tech Data offers roles in technology distribution with a focus on supply chain management, sales, and technical support. Employees generally cite a collaborative environment and opportunities for skill development, though experiences can vary by position and location.

What profession makes $400,000 a year?

In the tech industry, senior roles such as Chief Technology Officer (CTO), software engineering directors, and specialized data scientists can earn $400,000 or more annually, especially with experience, leadership responsibilities, and stock options. High-level executives and professionals with advanced skills in areas like machine learning, cloud computing, or cybersecurity are more likely to reach this compensation level.

What is the difference between Tech Data vs Network Technician?

AspectTech DataNetwork Technician
Required CredentialsTypically requires a degree in IT, computer science, or related certifications like CompTIA A+ or Network+Often requires similar certifications, with emphasis on networking certifications like Cisco CCNA or CompTIA Network+
Work EnvironmentPrimarily in data centers, warehouses, or office settings managing hardware and software assetsPrimarily in office or on-site locations troubleshooting, installing, and maintaining network infrastructure
Employer & Industry UsageUsed by hardware suppliers, data centers, and IT service providersCommon in corporate IT departments, telecom companies, and managed service providers

Both roles require technical certifications and involve working with hardware and networks. Tech Data professionals focus on managing data assets and hardware logistics, while Network Technicians specialize in maintaining and troubleshooting network systems. The roles often overlap but differ mainly in scope and daily tasks.

What is a Tech Data specialist?

A Tech Data specialist is a professional who manages, analyzes, and interprets technical data to support business operations, decision-making, and IT systems. Their responsibilities often include data collection, data quality assurance, reporting, and collaborating with other departments to ensure accurate and secure data handling. Tech Data specialists may also work with databases, data warehouses, and analytics tools to extract insights and improve organizational efficiency. This role is vital in industries that rely on large volumes of technical or operational data.

What hot tech job pays $775 000?

High-level executive roles in technology, such as Chief Technology Officer (CTO) or Chief Information Officer (CIO), can reach compensation levels around $775,000 or higher, especially in large corporations or successful startups. These positions typically require extensive experience, leadership skills, and often involve stock options or bonuses in addition to salary.

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

Tech Data professionals often encounter challenges related to managing large volumes of complex data from diverse sources, ensuring data accuracy, and maintaining data security. To address these, it's important to implement robust data management tools, establish clear data governance protocols, and collaborate closely with IT and business teams. Continuous learning and staying updated on emerging technologies can also help professionals stay ahead of industry demands and overcome technical hurdles.
What cities in Arizona are hiring for Tech Data jobs? Cities in Arizona with the most Tech Data job openings:
Infographic showing various Tech Data job openings in Arizona as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $44,276 per year, or $21.3 per hour.
Tech Data Product Owner

Tech Data Product Owner

Kestra Holdings

Tempe, AZ โ€ข On-site

Full-time

Medical, Retirement

Re-posted 29 days ago


Job description

Kestra Holdings offers industry-leading wealth management platforms for independent wealth management professionals nationwide. Kestra is dedicated to empowering independent financial professionals-including traditional and hybrid RIAs-to grow their businesses and deliver exceptional client service. We combine advanced business management technology with personalized consulting to provide unmatched scale, efficiency, and support. Our advisor-focused culture is built on innovation and advocacy, enabling advisors to offer comprehensive securities and investment advisory solutions to their clients.
Lead with Purpose. Partner with Impact.
Kestra is seeking a customer-focused, outcome-driven Data Product Owner to lead the development and adoption of trusted master data as a core enterprise capability. Reporting to the Manager of Data Product Management, this role translates business needs into scalable master data products and drives execution across engineering, governance, and business stakeholders.
This role sits at the intersection of strategy, governance, and delivery. The successful candidate will own master data domains data products, ensuring they are trusted, governed, and actively consumed across analytics, reporting, operational, and AI use cases.
The Product Owner serves as a key liaison between business leaders, data governance, and technical teams, ensuring master data solutions align with Kestra's business objectives and deliver measurable value.
What You'll Do
  • Own the definition, evolution, and success of trusted master data products (e.g., Client, Advisor, Account, Firm, Product) as reusable enterprise assets.
  • Partner with Data Governance and business Data Owners to define golden record definitions, survivorship rules, and domain-specific data standards.
  • Drive adoption of master data by downstream consumers (Analytics, Reporting, AI, Operations, Compliance), ensuring master data is fit-for-purpose.
  • Define and track success metrics for master data products (e.g., data quality scores, match rates, duplicate reduction, downstream consumption, business issue reduction).
  • Act as the primary liaison between business users, data analysts, data engineers, and developers to ensure consistent understanding and delivery of business needs.
  • Coordinate dependencies and share learnings across the Product Owners and teams to support enterprise alignment across the data ecosystem.
  • Collaborate with the release manager and QA to support production deployments and communicate release notes to business stakeholders.

What You Bring
  • Bachelor's degree in Business, Information Systems, Computer Science, Data Analytics, or related field; equivalent work experience will be considered.
  • 3+ years of experience as a Product Owner or Business Analyst supporting data platforms, enterprise reporting, or analytics solutions in an Agile environment.
  • Hands-on experience with cloud-based data platforms, ideally within the Microsoft Azure ecosystem (e.g., Azure Data Factory, Azure Synapse, Data Lake) and Databricks.
  • Strong familiarity with data warehousing concepts, data ingestion processes, and data product lifecycle management.
  • Proficient in using product and collaboration tools such as JIRA and Confluence for backlog management and team communication.

Internal Application Policy:
Internal applicants must be in good standing and have a minimum of 1 year of service with Kestra. Internal applicants must also have a minimum of 1 year service in current role unless approved by EVP.
Benefits to support you:
  • Competitive pay and benefits with a large employer (over 1600 employees nationwide)
  • 401(k), health insurance, and a competitive benefits package
  • Work in a supportive, collaborative environment committed to professional excellence
  • Help clients navigate meaningful financial decisions with confidence
  • Opportunities for training, development, and long-term growth within the firm
  • Tuition reimbursement for qualified expenses

Kestra Values:
Our Mission is Powering Financial Independence, enabling the growth and success of investing clients and the advisors who serve them. We do that by living our values: Serve, Make it Happen, and One team.
Explore Life at Kestra
Kestra Holdings Website: https://www.kestrafinancial.com/
Careers Portal: https://jobs.dayforcehcm.com/en-US/kestra/KESTRACAREERSITE
LinkedIn: https://www.linkedin.com/company/kestra-financial
Apply Today
Lead with purpose. Apply now and help shape the future of Kestra.
DisclosureBy applying to a job at Kestra Financial, Inc., you are agreeing to the following statements:
  • You acknowledge that if hired, Kestra Financial, Inc. may, obtain and use background information concerning your credit, character, general reputation, personal characteristics, work habits, performance and experience for evaluation for your potential employment.
  • It is the policy of Kestra Financial to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender, identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Kestra Financial prohibits any such discrimination or harassment.