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Azure Databricks Jobs in Phoenix, AZ (NOW HIRING)

FHR

12-12-R-Solution Architect - 9150

Phoenix, AZ · On-site

$63.25 - $81.50/hr

The ideal candidate will have a proven track record of delivering end-to-end ETL/ELT pipelines across Databricks, Azure, and AWS environments. Key Responsibilities * Design scalable data lake and ...

Circle K

Data/Information Architect

Tempe, AZ · On-site

$62 - $79.75/hr

Should have performed a similar role & capacity for large transformational engagements. • Hands on development Design and Develop applications using Databricks. Experience with Azure, AWS, or other ...

Kestra Holdings

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

We are seeking a seasoned Databricks Data Engineer with expertise in Azure cloud services and the Databricks Lakehouse platform. The role involves designing and optimizing large-scale data pipelines ...

Koantek

Full Stack Application Developer

Mesa, AZ · On-site

... Databricks SQL , Delta Lake , or Lakehouse architectures. * Experience building data-intensive or analytics-focused web applications. * Cloud application development experience with AWS, Azure, or ...

Koantek

Full Stack Application Developer

Mesa, AZ · Remote

... Databricks SQL, Delta Lake, or Lakehouse architectures. Experience building data-intensive or analytics-focused web applications. Cloud application development experience with AWS, Azure, or GCP.

Avnet, Inc.

Business Analyst

Tempe, AZ · On-site

SQL, Azure Databricks, Power BI, Python, or SAP; Transforming external and internal data into visual platform; Generating and delivering comprehensive weekly reports, including sales orders, purchase ...

Pwc

AI & GenAI Data Scientist - Manager

Phoenix, AZ

$99K - $232K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

Pwc

AI Engineer

Phoenix, AZ

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Phoenix Staff

Mid-Senior Data Engineer

Phoenix, AZ · Hybrid

$100K - $115K/yr

Exposure to analytics or data science tools (Databricks, Azure ML, etc.). * Understanding of data governance, lineage, and cataloging best practices. To find more great tech-centric jobs, please ...

Avnet, Inc.

Business Analyst

Tempe, AZ · On-site

SQL, Azure Databricks, Power BI, Python, or SAP; Transforming external and internal data into visual platform; Generating and delivering comprehensive weekly reports, including sales orders, purchase ...

Trellance, Inc.

Lead AI & Data Solutions

Phoenix, AZ · On-site

$180 - $240/hr

Oversee implementation of solutions using Microsoft Azure AI Foundry, Azure OpenAI, Snowflake, Databricks, Microsoft Fabric, and related technologies. * Guide teams in building Retrieval Augmented ...

New

Avnet LLC

Business Analyst

Tempe, AZ · On-site

$85 - $120/hr

SQL, Azure Databricks, Power BI, Python, or SAP * Transforming external and internal data into visual platform * Generating and delivering comprehensive weekly reports, including sales orders ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

Experience with tools like Databricks, Azure ML, and Snowflake. * Understanding of ERP platform and experience in enabling AI in business functions like sales, HR, finance, operations, etc.

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All JobsAzure Databricks JobsAzure Databricks Jobs in Phoenix, AZ

Azure Databricks information

See Phoenix, AZ salary details

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How much do azure databricks jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for azure databricks in Phoenix, AZ is $57.99, according to ZipRecruiter salary data. Most workers in this role earn between $52.50 and $65.14 per hour, depending on experience, location, and employer.

What is an Azure Databricks?

An Azure Databricks job is a way to run a notebook, JAR, Python script, or other workload in an automated or scheduled manner on an Azure Databricks cluster. Jobs allow users to orchestrate data processing, machine learning tasks, or ETL workflows efficiently. They can be triggered manually, on a schedule, or in response to events, enabling streamlined data pipeline management. Jobs also support multi-task workflows, allowing dependencies between different tasks.

What does an Azure Databricks do?

A typical day for an Azure Databricks professional involves designing, developing, and maintaining data pipelines, collaborating with data scientists and business analysts to transform raw data into actionable insights. You may spend time configuring Spark clusters, optimizing query performance, ensuring data security, and troubleshooting data workflow issues. Regular meetings with stakeholders and team members are common to align on project requirements and report progress. This role often offers a mix of independent technical work and team collaboration, making it both dynamic and engaging.

What are the key skills and qualifications needed for an Azure Databricks?

To thrive as an Azure Databricks professional, you need expertise in big data analytics, data engineering, and proficiency with SQL, Python, and Apache Spark, typically supported by a degree in computer science or a related field. Familiarity with the Azure cloud ecosystem, Databricks platform tools, and advantageous certifications like Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, collaboration, and the ability to communicate technical concepts clearly help set you apart in this role. These abilities are crucial for designing and optimizing scalable data solutions and effectively working within cross-functional data teams.

Are Azure Databricks in high demand?

Azure Databricks professionals are in high demand due to the increasing adoption of cloud-based data analytics and machine learning solutions. Skills in Spark, Python, and cloud environments enhance job prospects, with many organizations seeking expertise in managing large-scale data workflows on Azure. The role often requires familiarity with data engineering, data science, and cloud certifications.

Is Azure Databricks difficult to learn?

Azure Databricks is a cloud-based data analytics platform that combines Apache Spark with Azure services, and learning it involves understanding Spark concepts, data engineering, and cloud environment management. While it has a learning curve for beginners, familiarity with programming languages like Python or Scala and basic data processing skills can facilitate the learning process.

What is a job in Azure Databricks?

A job in Azure Databricks refers to an automated task or set of tasks that run on the platform, such as data processing, machine learning model training, or data pipeline execution. These jobs are scheduled and managed through the Azure Databricks workspace, often requiring knowledge of Spark, Python, Scala, or SQL. They enable users to automate workflows and handle large-scale data analytics efficiently.

What is the salary of an Azure Databricks engineer?

The salary of an Azure Databricks engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications. Professionals with strong skills in Spark, cloud computing, and data engineering can expect higher compensation. Salaries may also vary based on company size and industry demand.

What are the most commonly searched types of Azure Databricks jobs in Phoenix, AZ?

The most popular types of Azure Databricks jobs in Phoenix, AZ are:

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For Azure Databricks jobs in Phoenix, AZ, the most frequently searched job titles are:

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The top searched job categories for Azure Databricks jobs in Phoenix, AZ are:

Azure Databricks jobs near you
Infographic showing various Azure Databricks job openings in Phoenix, AZ as of August 2026, with employment types broken down into 89% Full Time, 4% Part Time, and 7% Contract. Highlights an 80% Physical, 7% Hybrid, and 13% Remote job distribution, with an average salary of $120,615 per year, or $58 per hour.

12-12-R-Solution Architect - 9150

FHR

Phoenix, AZ • On-site

$63.25 - $81.50/hr

Other

Re-posted 25 days ago

Key responsibilities

  • Design scalable data lake and data architectures using Databricks and cloud-native services.

  • Design and develop robust data pipelines and optimize data workloads and performance.

  • Provide architectural guidance, best practices, and technical leadership across teams.

Job description

  • This job is hybrid in Phoenix,AZ

    Our direct client has an opening for a Solution Architect – 9150

    This position is up to 6 months, with the option of extension, and is located in Phoenix, AZ.

    If you are interested, please submit the following:

    YOUR CURRENT RESUME

    YOUR HOURLY RATE

    We can work w2 or corp to corp.

    Solution Architect – Data

    The Solution Architect – Data is responsible for contributing to the design, modernization, and optimization of enterprise-scale data systems, as well as the maintenance and operations strategy for CHP. This role involves designing and implementing data systems that organize, store, and manage data within our cloud data platform.

    The architect will perform continuous maintenance and operations work for CHP in the cloud environment. They will review and analyze CHP’s data infrastructure, plan future database solutions, and implement systems to support data management for CHP users.

    Additionally, this role is accountable for ensuring data integrity, making sure the CHP team adheres to data governance standards to maintain accuracy, consistency, and reliability across all systems. The architect will identify data discrepancies and quality issues, and work to resolve them.

    This position requires a strong blend of architectural leadership, technical depth, and the ability to collaborate with business stakeholders, data engineers, machine learning practitioners, and domain experts to deliver scalable, secure, and reliable AI-driven solutions.

    The ideal candidate will have a proven track record of delivering end-to-end ETL/ELT pipelines across Databricks, Azure, and AWS environments.

    Key Responsibilities

    • Design scalable data lake and data architectures using Databricks and cloud-native services.

    • Develop metadata-driven, parameterized ingestion frameworks and multi-layer data architectures.

    • Optimize data workloads and performance.

    • Define data governance frameworks for CHP.

    • Design and develop robust data pipelines.

    • Architect AI systems, including RAG workflows and prompt engineering.

    • Lead cloud migration initiatives from legacy systems to modern data platforms.

    • Provide architectural guidance, best practices, and technical leadership across teams.

    • Build documentation, reusable modules, and standardized patterns.

    Required Skills and Experience

    • Strong expertise in cloud platforms, primarily Azure or AWS.

    • Hands-on experience with Databricks.

    • Deep proficiency in Python and SQL.

    • Expertise in building ETL/ELT pipelines and ADF workflows.

    • Experience architecting data lakes and implementing data governance frameworks.

    • Hands-on experience with CI/CD, DevOps, and Git-based development.

    • Ability to translate business requirements into technical architecture.

    Technical Expertise

    Programming: Python, SQL, R

    Big Data: Hadoop, Spark, Kafka, Hive

    Cloud Platforms: Azure (ADF, Databricks, Azure OpenAI), AWS

    Data Warehousing: Redshift, SQL Server

    ETL/ELT Tools: SSIS

    Required Educational Background

    • Bachelor’s degree in Computer Science, Information Technology, Information Systems, Engineering, or a related field.

    • 6+ years of experience in data engineering or .NET development.