Data Platform Engineer Jobs in Arizona
Data Platform Engineer jobs in Arizona are in strong and consistent demand, concentrated in financial services, semiconductor manufacturing, healthcare systems, and cloud-native tech companies, with openings at every level from junior data engineer through principal architect. Phoenix and Scottsdale account for the largest share of postings, with Tempe close behind as a growing tech corridor. Intel, Banner Health, and JPMorgan Chase are among the established employers with a lasting Arizona footprint who hire for this role regularly, with the most sought-after specialties being cloud data infrastructure, real-time streaming pipelines, and lakehouse architecture. Find a role that fits below and apply directly.
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At P.F. Chang’s, we take PRIDE in creating a heart-filled, guest-led Pan-Asian dining experience while delivering meaningful value for our guests, Team Members, and shareholders. Our vision is to be the most admired Pan-Asian restaurant company in the world.
We are seeking an experienced Sr. Manager, Data Platform to join our IT team at our Global Support Center in Scottsdale, Arizona. The Senior Manager, Data Platform will own our data model, database architecture, and integrations while leading a technical team. This role will also help build AI-enabled business intelligence capabilities that support faster decisions, greater efficiency, and cost reduction.
Job Responsibilities:
- Own the Data Foundation: Maintain and evolve the company’s data model, database architecture, and table structures across the enterprise data platform.
- Lead Platform Modernization: Assess current data architecture and integrations, identify gaps, and guide redesign or re-platforming when needed.
- Build and Improve Integrations: Set standards for data flows across business systems, working with internal technology teams and outside vendors.
- Stay Hands-On: Write and review SQL queries, build data views, and prepare reports and analyses for business and technical stakeholders.
- Enable AI-Driven Insights: Develop data capabilities that support predictive analytics, forecasting, and automated insights for field and leadership teams.
- Lead and Develop the Team: Coach and grow data architects, database administrators, engineers, and BI professionals.
- Set Technical Standards: Guide database administration, data warehousing, ETL and integration development, and BI and reporting delivery.
- Support Business Partners: Work with departments across the company to translate their reporting and analytics needs into reliable, reusable data structures.
- Strengthen Data Governance: Maintain data quality, definitions, lineage, governance, and access controls.
- Protect Platform Reliability: Oversee the security, performance, and reliability of production databases and pipelines, including Tier 2 and Tier 3 support.
- Evaluate Tools and Vendors: Recommend data, integration, BI, and AI platforms; manage related vendor relationships and contracts.
Job Requirements:
- 7–10 years of progressive experience in data engineering, database administration, data architecture, or a related data platform field.
- At least 3 years of experience directly managing or leading a technical team.
- Strong SQL skills and a deep understanding of relational database design, data modeling, and schema structures.
- Experience designing and owning enterprise data integrations, such as APIs, ETL/ELT, or middleware, across multiple business systems.
- Experience building or enabling AI and machine learning capabilities for business intelligence, such as predictive analytics, forecasting, or automated insight generation.
- Knowledge of data warehousing and BI or reporting tools.
- Experience evaluating legacy data structures and leading modernization efforts.
- Strong project management and prioritization skills.
- Clear written and verbal communication skills, including the ability to explain technical concepts to non-technical partners.
Preferred qualifications:
- Experience in restaurant, retail, or another multi-unit operating environment.
- Experience with cloud data warehouse platforms, modern ETL or integration platforms, or BI and visualization tools.
Location:
This is primarily an office-based position (in-office minimum 3 days/week) located at the P.F. Chang’s Global Support Center in Scottsdale, Arizona 85255. Candidates must currently reside in the greater Phoenix area and live within a reasonable commuting distance of the office.
Benefits We Offer:
- Comprehensive Benefits: Medical, dental, vision and 401(K) starting on the 1st of the month following the hire date.
- Paid Vacation and Sick Time: 20 days per calendar year for full-time Global Support Center team members, prorated for new hires.
- Paid Holidays: 12 company-selected holidays plus 2 floating holidays per year.
- Competitive Pay & Performance Incentives: Annual bonuses based on Company performance.
- Professional Development: Tuition reimbursement for job related programs.
- Lucky Cat Meal Card: Preloaded meal card for use at any corporate-owned P.F. Chang’s location.
- Exclusive Discounts: Access exclusive employee discounts.
- Supportive Community: Financial assistance through the Lucky Cat Fund during hardships for qualifying team members.
Why work for us?
Because it’s more than a job. We take PRIDE in creating a heart-filled, guest-led Pan-Asian dining experience, fueled by passion for our craft, respect for our people, and an unwavering commitment to excellence.
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Where Arizona roles are concentrated, by current openings.
Data Platform Engineer Job Market in Arizona
A snapshot from current Arizona openings, updated as new roles post.
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What Arizona Employers Look For
The qualifications that appear most often in data platform engineer jobs across Arizona.
- Bachelor's degree in computer science, information systems, or a related technical field
- Hands-on experience building and maintaining cloud data pipelines on AWS, Azure, or GCP
- Proficiency in SQL and at least one scripting language such as Python or Scala
- Experience with distributed data processing frameworks including Apache Spark or Flink
- Familiarity with data lakehouse platforms such as Databricks, Snowflake, or Apache Iceberg
- Understanding of data governance, cataloging, and access control practices in enterprise environments
Data Platform Engineer Jobs in Arizona: Frequently Asked Questions
How do you become a data platform engineer in Arizona?
The role carries no state-issued license or registration in Arizona, so the path runs through education and demonstrated technical skills. Most Arizona employers expect a bachelor's degree in computer science, information systems, or engineering, though some accept an associate degree paired with a strong project portfolio. Earning a cloud certification from AWS, Microsoft Azure, or Google Cloud gives candidates a concrete credential that Arizona hiring managers treat as a meaningful signal of readiness.
How much do data platform engineers make in Arizona?
Data platform engineers in Arizona earn a median of about $156,100 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $99,730 for the lowest 10% to over $189,190 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data platform engineers in Arizona?
Employers hiring data platform engineers in Arizona right now include Achieve, P.F. Chang's, and American Express, based on current listings on Migrate Mate as of November 2026. Arizona's concentration of financial institutions, semiconductor firms, and large regional health systems means demand stays active across multiple industries rather than depending on a single sector.
Which Arizona cities have the most data platform engineer jobs?
Tempe, Phoenix, and Scottsdale lead Arizona for data platform engineer openings. Phoenix drives the largest share thanks to its dense cluster of financial services headquarters, regional health networks, and cloud-oriented tech offices, while Scottsdale and Tempe pull in additional demand from mid-market SaaS companies and the research institutions tied to Arizona State University.
Are there remote data platform engineer jobs in Arizona?
Yes, and more than most fields, since data platform engineering is fundamentally a desk-based, infrastructure-oriented discipline that translates well to remote work. About 100% of data platform engineer openings tied to Arizona are remote or hybrid as of November 2026, reflecting how broadly distributed cloud-first teams have become. Pipeline design, orchestration work, and platform reliability tasks are the functions most commonly offered fully remote.
How can I get hired as a data platform engineer in Arizona with little or no experience?
The most realistic entry path is through a data analyst or BI developer role and then moving laterally once you have pipeline exposure on the job. Large Arizona employers like Banner Health and Intel run structured technology associate programs that accept candidates with foundational credentials rather than years of experience. Building a public portfolio on GitHub that shows an end-to-end pipeline project, even a personal one using open datasets, is the single credential that most consistently converts Arizona interviews into offers for candidates without direct experience.
Where can I find and apply to data platform engineer jobs in Arizona?
You can find and apply to data platform engineer jobs in Arizona on Migrate Mate, which lists current Arizona openings from employers actively hiring for the role. Search for positions that match your experience level and specialization, then apply directly to the ones that fit.
See All 6 Data Platform Engineer Jobs in Arizona
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