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Remote Databricks Jobs in Arizona (NOW HIRING)

Koantek

Databricks Platform Architect

Chandler, AZ · Remote

Remote Position Type: Contract Job Overview We are seeking an accomplished, technology-driven Lead ... Validate, refine, and own the target architecture on Databricks. Define robust migration strategies ...

YO AI Labs

Analytics Expert - Remote

Phoenix, AZ · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Business Intelligence & Analytics Experts to ... Build or refine dashboards using Power BI, Tableau, Looker, Qlik, Sigma, or Databricks . * Check ...

New

Koantek

Resource Manager

Chandler, AZ · Remote

Remote (Coverage for EST & PST required) Role Overview As the Resource Manager for Koantek's Premium Consulting, you will be the central hub matching elite Databricks talent spread across diverse ...

Koantek

Full Stack Application Developer

Mesa, AZ · Remote

Remote-USA Employment Type: Contract Department: Engineering Role Overview Koantek is seeking ... Experience with Databricks Apps and the broader Databricks platform is highly desirable but not ...

CIBC US

Data Security Consultant

Yuma, AZ · On-site +1

$130K - $150K/yr

... Databricks and Microsoft Azure. * Cross-functional collaboration - Partner with technology teams ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

CIBC

Data Security Consultant

Yuma, AZ · On-site +1

$130K - $150K/yr

... Databricks and Microsoft Azure. * Cross-functional collaboration - Partner with technology teams ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Dutchbros

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

Location Requirement: This position is eligible for remote work within any state Dutch Bros ... Successfully develop and deploy production-grade data solutions on Snowflake, databricks or similar ...

U-Haul

Contact Center Data Analyst

Phoenix, AZ · On-site +1

... remote work. As a Data Analyst, team members will be responsible for evaluating and improving U ... Proven experience in Power BI and Databricks * Proven experience processing and analyzing ...

Insight

This is a remote work opportunity Insight at a Glance * 14,000+ engaged teammates globally * $8.2 ... Proven experience working with or within Microsoft, Databricks, GitHub * Strong understanding of:

All JobsDatabricks JobsRemote Databricks JobsRemote Databricks Jobs in Arizona

Remote Databricks information

What is a remote Databricks engineer?

Remote Databricks jobs are positions that involve working with the Databricks data analytics platform from a location outside of a traditional office, typically from home or another remote setting. These roles often focus on developing data pipelines, analyzing big data, building machine learning models, or managing cloud infrastructure using Databricks. Employees use collaboration tools and cloud-based environments to connect with their teams and access the Databricks platform securely. Remote Databricks jobs may be available for data engineers, data scientists, machine learning engineers, and DevOps professionals. The flexibility of remote work allows professionals to collaborate with global teams while leveraging Databricks’ powerful data processing and analytics capabilities.

How does a remote Databricks engineer typically collaborate with cross-functional teams?

As a remote Databricks engineer, you will frequently work with data scientists, analysts, and other engineers through virtual collaboration tools such as Slack, Jira, and Zoom. Regular stand-up meetings, code reviews, and shared documentation platforms help maintain alignment across distributed teams. You'll often contribute to shared Databricks notebooks and participate in sprint planning to ensure data pipelines and analytics workflows meet business requirements. Effective communication and proactive documentation are key to successful remote collaboration in this role.

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

To thrive as a Remote Databricks Engineer, you need a strong background in data engineering, cloud computing (especially Azure or AWS), and proficiency in languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks platform tools, Spark, SQL, and relevant certifications such as Databricks Certified Data Engineer Associate are typically required. Strong problem-solving, communication, and self-motivation skills help you excel in remote and collaborative data-driven environments. These skills are essential for efficiently designing scalable data solutions and collaborating virtually to drive business value.

What are the most commonly searched types of Databricks jobs in Arizona?

The most popular types of Databricks jobs in Arizona are:

What are popular job titles related to Remote Databricks jobs in Arizona?

For Remote Databricks jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Remote Databricks jobs in Arizona look for?

The top searched job categories for Remote Databricks jobs in Arizona are:

What cities in Arizona are hiring for Remote Databricks jobs?

Cities in Arizona with the most Remote Databricks job openings:

Remote Databricks jobs near you
Infographic showing various Remote Databricks job openings in Arizona as of August 2026, with employment types broken down into 91% Full Time, 2% Part Time, 2% Temporary, and 5% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution.

Databricks Platform Architect

Chandler, AZ • Remote

Koantek
IT Services • 11 - 50 employees
Learn more about Koantekexternal

Contractor

Re-posted 16 days ago

Job description

Job Title: Lead Data Platform Architect / Data bricks Migration Lead Location: Remote Position Type: Contract Job Overview We are seeking an accomplished, technology-driven Lead Data Platform Architect / Migration Specialist to spearhead the modernization of our core enterprise financial and tax allocation engines. In this role, you will lead the architectural design, definition of migration strategies, and hands-on implementation to transition large-scale legacy relational database systems (SQL Server/T-SQL) into a modern, cloud-native Databricks Lakehouse platform. The ideal candidate will have extensive experience in high-throughput distributed systems, Databricks compute optimization, performance tuning, and complex pipeline orchestration.

Key Responsibilities Architecture & Strategy: Validate, refine, and own the target architecture on Databricks. Define robust migration strategies and production-ready reference patterns to convert 150+ complex stored procedures into PySpark and Structured/Declarative Pipelines (SDP). Pipeline Engineering: Design distributed processing frameworks, control flows, and configuration-driven parameter handling for both full and incremental recalculation modes.

Performance Optimization: Address performance deltas between small and large workloads. Architect and implement acceleration techniques such as caching, partition pruning, cluster sizing, and offline/pre-calculation strategies to maintain sub-30-second user-facing reporting SLAs. Orchestration & Observability: Design and deploy enterprise-level pipeline orchestration using tools like Apache Airflow or Databricks Workflows.

Integrate robust logging, error handling, and observability patterns into existing enterprise monitoring frameworks. Governance & Security: Implement data governance models, data lineage, and schema evolution utilizing tools like Unity Catalog. AI-Assisted Delivery & Code Quality: Establish best practices for AI-assisted code generation (e.g., using Claude or advanced LLMs), providing code-review patterns and refactoring frameworks to ensure maintainable and performant output

Team Enablement: Lead code walkthroughs, design reviews, and pair-programming sessions with the development team to accelerate knowledge transfer and technical excellence. Required Technical Skills & Qualifications Core Big Data Platform: Deep expert-level knowledge of Databricks (Lakehouse architecture, Delta Lake, Unity Catalog) and Apache Spark / PySpark. Legacy Database Expertise: Strong background in relational databases, with advanced proficiency in SQL Server, T-SQL, and Stored Procedures.

Ability to reverse-engineer and refactor legacy database logic into distributed paradigms. Orchestration Tools: Hands-on experience with Apache Airflow or similar modern workflow orchestrators. Performance Tuning: Proven track record in cost optimization (FinOps), cluster tuning, autoscaling configurations, and handling skewed data profiles.

CI/CD & DevOps: Experience with Infrastructure as Code (Terraform), data build tool (dbt), testing frameworks (PyTest), and automated Git-based workflows. Experience Level: 10+ years of experience in Data Engineering/Architecture, with at least 3+ years specifically leading large-scale cloud data migrations. Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.

Preferred Certifications Databricks Certified Data Engineer Associate / Professional Databricks Certified Solutions Architect AWS Certified Database Specialist or equivalent Cloud Certifications

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