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Databricks Jobs in Arizona (NOW HIRING)

Smart Synergies

Data Engineering Lead

Glendale, AZ

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 ...

FHR

12-12-R-Solution Architect - 9150

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Key Responsibilities • Design scalable data lake and data architectures using Databricks and cloud-native services. • Develop metadata-driven, parameterized ingestion frameworks and multi-layer ...

Navtech, Inc.

Big Data Engineer with Java

Phoenix, AZ · On-site

$54.25 - $71.75/hr

Hadoop echo system, Spark, Databricks, and Azure-based services * Experience with medium to large scale data structures/data lakes * Experience with both Streaming and Batch Data Ingestion (Lambda)

Sprouts Farmers Market

CRM Analyst II

Phoenix, AZ

Write and maintain SQL queries against Databricks and other data sources to support audience segmentation, performance analysis, and campaign measurement * Partner with Data Science and data ...

Sprouts Farmers Market

CRM Analyst II

Phoenix, AZ · On-site

Write and maintain SQL queries against Databricks and other data sources to support audience segmentation, performance analysis, and campaign measurement * Partner with Data Science and data ...

Sprouts Farmers Market

CRM Analyst II

Phoenix, AZ

Write and maintain SQL queries against Databricks and other data sources to support audience segmentation, performance analysis, and campaign measurement * Partner with Data Science and data ...

Circle K

Senior Manager Data Architecture

Tempe, AZ · On-site

$65.50 - $87.50/hr

The Sr. Manager, Data Architecture will define and execute the data strategy and technical roadmap, leading a team to evolve the data platform leveraging Microsoft Azure, Snowflake, and Databricks.

Sprouts Farmers Market

CRM Analyst II

Phoenix, AZ

Write and maintain SQL queries against Databricks and other data sources to support audience segmentation, performance analysis, and campaign measurement * Partner with Data Science and data ...

TekWissen LLC

Software Engineering Lead

Glendale, AZ · On-site

$93/hr

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 ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

... Databricks. • Collaborate with business domain managers to define product requirements and identify AI opportunities. • Oversee data science project lifecycles, from ideation to production ...

QuantumClean

Data Scientist

Phoenix, AZ

The role leverages enterprise analytics platforms including Databricks and Microsoft Copilot Studio to enable AI-assisted insights and intelligent automation for manufacturing and operations users.

vTech Solution

Solution Architect

Phoenix, AZ · On-site

$62.50 - $82.50/hr

Hands-on expertise with Databricks * Advanced proficiency in Python and SQL * Experience building ETL/ELT pipelines and orchestration workflows (ADF or equivalent) * Experience designing data lakes ...

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See Arizona salary details

$21.9K

$35.1K

$47.5K

How much do databricks jobs pay per year?

As of May 30, 2026, the average yearly pay for databricks in Arizona is $35,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,200.00 and $38,700.00 per year, depending on experience, location, and employer.

What is a Databricks job?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

What are the key skills and qualifications needed to thrive in the Databricks position, and why are they important?

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

Does Databricks pay more than Google?

As a data platform company, Databricks generally offers competitive salaries that can be comparable to or slightly lower than Google's, depending on the role, location, and experience level. Google is known for high compensation packages, especially for engineering and technical roles, often including bonuses and stock options, while Databricks also provides attractive pay and benefits for data engineers, data scientists, and software engineers. Salary differences depend on specific job functions, seniority, and geographic location.
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Databricks jobs near you
Data Engineering Lead

Data Engineering Lead

Smart Synergies

Glendale, AZ

Other

Posted yesterday

Job description

Job Summary:

We are seeking an experienced and highly skilled Data Engineering Lead to spearhead our data initiatives, with a primary focus on Azure Data Lake and its associated ecosystem. 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 delivering scalable and secure data solutions.

Major Responsibilities:

Architectural Design and Implementation:

Design and implement robust, scalable, and efficient data architectures leveraging Azure Data Lake and Databricks.

Define and enforce best practices for data ingestion, storage, processing, and retrieval.

Optimize data workflows to ensure high performance and cost efficiency.

Data Governance and Security:

Develop and implement security measures for Azure Data Lake, ensuring compliance with organizational and regulatory standards.

Manage role-based access control (RBAC), encryption, and other security protocols within Azure Subscriptions.

Collaborate with security teams to perform regular audits and vulnerability assessments.

Team Leadership and Collaboration:

Lead and mentor a team of data engineers, providing technical guidance and fostering professional development.

Collaborate with cross-functional teams, including data scientists, business analysts, and IT teams, to deliver data-driven solutions.

Drive agile practices and ensure timely delivery of projects.

Platform Optimization and Monitoring:

Oversee the deployment and management of Azure Data Lake and Databricks environments.

Implement monitoring and alerting systems to ensure system reliability and performance.

Evaluate and incorporate new Azure services and technologies to enhance the data platform.

Strategic Planning and Roadmap Development:

Develop and execute a roadmap for data engineering aligned with business objectives.

Stay abreast of industry trends and advancements in data engineering and Azure technologies.

Provide recommendations for long-term data strategy, including data lakehouse adoption and cloud optimization.

Education and Experience Requirements:

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

8+ years of experience in data engineering, with at least 3 years in a leadership role.

Extensive hands-on experience with Azure Data Lake, Databricks, and other Azure services.

Proven expertise in architecting and implementing large-scale data solutions.

ship is required for this position.

Required Knowledge and Skills:

Technical Skills:

Proficiency in SQL.

Deep understanding of Azure security concepts, including subscription management, RBAC, and data encryption.

Experience with data modeling, ETL pipelines, and big data technologies.

Familiarity with CI/CD pipelines and DevOps practices in a data engineering context.

Soft Skills:

Strong leadership and team management abilities.

Excellent communication and stakeholder management skills.

Analytical mindset with a proactive approach to problem-solving.

Preferred Qualifications:

Azure certifications, such as Azure Data Engineer Associate or Azure Solutions Architect Expert.

Experience with implementing data lakehouse architectures.

Familiarity with data governance frameworks like GDPR, CCPA, or HIPAA.

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