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Databricks Architect Jobs in Arizona (NOW HIRING)

Lead Data Architect

Scottsdale, AZ ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and evolve data architecture across a Databricks-first lakehouse in a broader Azure ecosystem, understanding both target state and appropriate trade-offs * Partner with engineering teams to ...

Senior Data Platform Architect

Phoenix, AZ ยท On-site +1

$63.75 - $85.25/hr

We're looking for a Data Architect to lead Databricks solution architecture end to end -- designing PHI-compliant data patterns, defining the architectural standards for how data moves from Bronze ...

Senior Data Platform Architect

Phoenix, AZ ยท On-site +1

$63.75 - $85.25/hr

We're looking for a Data Architect to lead Databricks solution architecture end to end -- designing PHI-compliant data patterns, defining the architectural standards for how data moves from Bronze ...

Senior Manager Data Architecture

Tempe, AZ

$64.50 - $86.25/hr

... Snowflake, Databricks, and related data technologies. Key Responsibilitiesand Accountabilities This role owns the architecture function for the full data lifecycle, from source discovery and ...

Solution Architect (21211)

Phoenix, AZ ยท On-site

$58.25 - $76.50/hr

  • Medical

  • Retirement

Enterprise Solution Architect Location: Phoenix, AZ Position Summary: We are seeking a seasoned ... Experience with modern data platforms (Fabric, Databricks, Snowflake or similar) * Mobile ...

Solution Architect (21211)

Phoenix, AZ ยท On-site

$58.25 - $76.50/hr

  • Medical

  • Retirement

Enterprise Solution Architect Location: Phoenix, AZ Position Summary: We are seeking a seasoned ... Experience with modern data platforms (Fabric, Databricks, Snowflake or similar) * Mobile ...

The ideal candidate will possess deep architectural knowledge of Azure Data Lake and Databricks, a solid understanding of security concepts within Azure, and a proven track record of leading teams in ...

Salesforce Solution Architect

Tucson, AZ ยท On-site

$59.50 - $78.50/hr

  • Medical

  • Life

  • Retirement

  • PTO

Experience with data engineering and analytics platforms such as Databricks or Snowflake, focusing ... Salesforce System Architect, Salesforce Public Sector Solutions Accredited Professional, Salesforce ...

AI & Data Architect

Phoenix, AZ ยท On-site

$180 - $240/hr

  • Medical

  • Retirement

  • PTO

Microsoft Fabric, Databricks, Snowflake or similar * Experience building with cloud AI services - e ... You'll be the architect of an entire company's data and AI foundation -- with your name on every ...

Showing results 21-40

Databricks Architect information

What is the difference between Databricks Architect vs Data Engineer?

AspectDatabricks ArchitectData Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, Spark, cloud platforms (AWS, Azure), SQLSQL, ETL tools, cloud platforms, programming (Python, Scala)
Work EnvironmentData platforms, cloud environments, collaboration with data teamsData pipelines, databases, cloud infrastructure, scripting

While both roles work with data and cloud platforms, a Databricks Architect primarily focuses on designing and implementing data solutions using Databricks, whereas a Data Engineer builds and maintains the data pipelines and infrastructure that support these solutions. The Architect often oversees the technical design, while the Engineer handles the day-to-day pipeline development.

What are the key skills and qualifications needed to thrive as a Databricks Architect?

To thrive as a Databricks Architect, you need strong expertise in big data engineering, cloud platforms (such as Azure or AWS), distributed computing, and proficiency in languages like Python or Scala, typically supported by a relevant degree and cloud certifications. Familiarity with Databricks Workspace, Apache Spark, Delta Lake, and CI/CD tools is crucial for designing and implementing scalable data solutions. Excellent problem-solving, communication, and project management skills set top performers apart by enabling effective collaboration and solution delivery. These competencies are essential for architecting reliable, high-performance data platforms that drive business insights and innovation.

What are some common challenges Databricks Architects face when designing large-scale data solutions?

Databricks Architects often encounter challenges such as optimizing cluster performance for cost and efficiency, ensuring data security and compliance across distributed environments, and integrating Databricks with legacy systems or diverse data sources. They must carefully design data pipelines and workflows to handle large volumes of data without bottlenecks, and also collaborate closely with data engineers, data scientists, and IT teams to align on best practices. Staying updated with evolving Databricks features and cloud platform updates is also essential for success in this dynamic role.

What is a Databricks Architect?

A Databricks Architect is an IT professional who designs, implements, and manages data solutions using the Databricks platform, which is built on Apache Spark. They are responsible for creating scalable data pipelines, optimizing data workflows, and ensuring security and compliance within the cloud environment. Databricks Architects often work closely with data engineers, data scientists, and business stakeholders to deliver robust analytics solutions that drive business insights. Their expertise helps organizations leverage big data technologies efficiently and effectively.
What are the most commonly searched types of Databricks Architect jobs in Arizona? The most popular types of Databricks Architect jobs in Arizona are:
What cities in Arizona are hiring for Databricks Architect jobs? Cities in Arizona with the most Databricks Architect job openings:
Infographic showing various Databricks Architect job openings in Arizona as of August 2026, with employment types broken down into 90% Full Time, 3% Part Time, and 7% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution.

Java FSE Lead / Architect (In-person Interview required in AZ)

Saransh Inc

Tempe, AZ โ€ข On-site

Contractor

Re-posted yesterday


Job description

Title: Java FSE Lead/Architect
Location: Tempe, AZ (3 days a week onsite) - Locals preferred
Job Type: Contract
 
Note: In-person Interviews are required at the client location in Tempe, AZ (so locals would be preferred)
 
Skill Metrics:
 
DataLake
Databricks
Kafka
Restful APIs
Grafana
Azure
Docker
Kubernetes
Gradle
ADX Portals
Angular
PostgreSQL
Terraform
Apache
Spring Boot
CSS
Github (DevOps)
HTML
Node JS
Thymeleaf

Job Summary:
  • We are seeking a highly experienced Java Full Stack Engineer (Lead/Architect) with a minimum of 7 years of hands‑on experience in full‑stack development, cloud engineering, and distributed systems.
  • The ideal candidate will be capable of leading development efforts, designing modules end‑to‑end, mentoring team members, and owning delivery from development through deployment.
  • This is a customer‑facing on‑site role with significant leadership responsibilities and collaboration with both onsite and offshore teams.
Key Responsibilities:
  • Serve as the Java Full Stack Lead/Architect, providing technical direction and hands‑on expertise.
  • Design application modules independently and contribute to architectural decisions.
  • Lead and participate in Agile ceremonies and perform all sprint‑related technical activities.
  • Own the end‑to‑end delivery of assigned user stories/features—from development through deployment.
  • Communicate effectively with both onsite and offshore stakeholders.
  • Function as a Senior Full Stack Engineer, providing strong technical leadership.
Required Skills & Experience (Minimum 7 Years):
Core Full Stack Development
Proven Full Stack Engineering background (backend + frontend)
Strong leadership experience in Java‑based engineering projects
Backend Technologies
Java Spring Boot
RESTful Web Services
Apache Kafka
 
Database/persistence:
PostgreSQL
DataLake
ADX
Databricks
ORM frameworks
Query performance tuning
 
Cloud & Containerization:
Strong experience with Azure Cloud
Kubernetes
Docker
Cloud-based design, development, and deployment
 
Frontend Technologies:
Thymeleaf
NodeJS
HTML, CSS
Angular
 
Build, CI/CD & Deployment:
Gradle
Terraform
Helm
Kustomize
GitHub Actions
 
DevOps & Monitoring Toolchain:
Slack
GitHub
Fluentbit
Apache NiFi
Dynatrace
Microsoft Teams
Grafana