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Remote Azure Databricks Jobs (NOW HIRING)

Opinov8

Azure Databricks Architect

$65 - $84.75/hr

PROJECT OVERVIEW We are looking for an experienced Azure Databricks Architect to design, implement ... Remote Work Model: Balance your professional and personal life with our flexible working conditions ...

Apex Informatics

Azure Databricks Architect

$65 - $84.75/hr

Azure Databricks Architect / client - Hillenbrand Location ... Remote Duration: 6-12 months. Top Role Requirements : * Responsible for designing & developing the ...

Inherent Technologies

Azure Databricks Architect

Chandler, AZ · Remote

$65 - $84.75/hr

Minneapolis/Remote 12+ years of Data Solutions Design/Development Experience with at-least 2+ years working as Lead Data Architect for a medium to large sized project or proposal Be able to Design ...

Noblesoft Technologies

Databricks Architect

Dallas, TX · Remote

$66.25 - $87/hr

Databricks Architect Location: Remote - Dallas, Texas Role/Responsibilities * Lead the data ... Expertise in Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure DevOps, and Azure ...

WorkNovas LLC

.Net Azure Developer

Tampa, FL · Remote

$56.25 - $69.75/hr

Job title: .Net Azure Developer Duration - 6 Months Location - FL remote Key Responsibilities ... Design, build, and optimize data pipelines using Azure Databricks, with strong use of PySpark and ...

Govcio LLC

Databricks SME (Remote)

$175K - $195K/yr

This position is fully remote within the United States. Responsibilities * Implement and manage ... Build ETL/ELT pipelines using Azure Databricks Lakehouse features. * Design and implement Spark ...

Qualysoft

Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: Datenanalyse und Prototyping mit Python in Azure Databricks unter Einsatz gangiger ML-Frameworks ...

TMS

Databricks Architect

Troy, MI · Remote

$66.25 - $87/hr

Troy, MI- Remote Minimum exp.- 14-15 yrs. Role Overview We are looking for a Databricks Architect ... CI/CD for Databricks (Azure DevOps / GitHub)

Carman Solutions Group

Azure Data Architect

Malvern, PA · Remote

$65 - $84.75/hr

Remote Duration: Long Term Contract Visa- Only US Citizen, H4 EAD, L2S, TN Visa Experience: 12 to ... Azure Databricks, ADF, Architecture, PySpark, SQL Mandatory Certification on Azure Architect ...

Futran Tech Solutions Pvt. Ltd.

Azure Data Engineer

$117K - $140K/yr

Remote Responsibilities: Designing cloud solutions, selecting appropriate Azure services, and ... Azure Databricks Azure Data Factory Pyspark Git Secondary Skills: Python Excellent problem-solving ...

Polar IT Services

Azure Databrick Engineer

Richmond, VA · On-site +1

Remote opportunities available in the following states: Virginia, North Carolina, Alabama, Delaware ... Native Databricks technologies * Metadata-driven ingestion framework * Databricks Integration ...

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · On-site +1

$111K - $133K/yr

This remote contract-to-hire position will be originated in Raleigh, NC. * SELECTED CANDIDATES ... Azure/Databricks environment. * Implement de-duplication strategies across large-scale datasets ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Remote Project Duration: 6-12 months Responsibilities: * Analysis, design, coding, performance ... Strong data warehousing experience with Azure, Databricks, and Snowflake. * Demonstrated strength ...

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Remote Azure Databricks information

Is Databricks a high paying job?

A remote Azure Databricks professional, such as a data engineer or data scientist, typically earns a competitive salary due to the specialized skills required, including expertise in cloud platforms, Spark, and data analytics. Salaries vary based on experience, location, and certifications but are generally above average for tech roles in data management and cloud computing.

What is the salary of Azure Databricks developer?

The salary of an Azure Databricks developer typically ranges from $90,000 to $140,000 annually, depending on experience, location, and certifications. Skilled professionals with expertise in Spark, cloud environments, and data engineering can command higher salaries.

What are Remote Azure Databricks jobs?

Remote Azure Databricks jobs are positions where professionals use Azure Databricks—a cloud-based analytics platform optimized for big data and machine learning—while working from a remote location. These roles typically involve tasks like building data pipelines, analyzing large datasets, developing and deploying machine learning models, and collaborating with teams virtually. Remote Azure Databricks professionals need strong skills in Spark, Python or Scala, and a good understanding of cloud computing. They often work as data engineers, data scientists, or analytics specialists, leveraging the platform’s capabilities to deliver data-driven insights for organizations.

Do Databricks have remote positions?

Remote positions for roles involving Azure Databricks are available, especially for data engineers, data scientists, and cloud specialists. Many companies offer remote work options for these roles, often requiring proficiency with cloud platforms, Spark, and data processing tools. Availability depends on the employer and specific job requirements.

What is the difference between Remote Azure Databricks vs Remote Data Engineer?

AspectRemote Azure DatabricksRemote Data Engineer
Required CredentialsAzure certifications, Spark/Databricks knowledgeData engineering certifications, SQL, cloud platform skills
Work EnvironmentCloud-based, collaborative platform for data analyticsData pipelines, database management, cloud environments
Industry UsageData analytics, AI, machine learning projectsData pipeline development, ETL processes

Remote Azure Databricks specialists focus on leveraging the Databricks platform for data analytics and machine learning, often working within cloud environments. Remote Data Engineers build and maintain data pipelines and infrastructure, frequently using cloud tools. While both roles require cloud and data skills, Azure Databricks roles are more centered on analytics and AI, whereas Data Engineers focus on data infrastructure and processing.

Is Azure Databricks in demand?

Azure Databricks professionals are in high demand due to the platform's widespread adoption for big data analytics and machine learning projects. Skills in Spark, cloud computing, and data engineering with Azure are valuable for these roles, which are often available in industries focusing on data-driven decision making.

What are the key skills and qualifications needed to thrive as a Remote Azure Databricks professional, and why are they important?

To thrive as a Remote Azure Databricks professional, you need strong expertise in data engineering, cloud computing, and proficiency in programming languages such as Python or Scala, typically supported by a relevant degree or certifications. Familiarity with Azure services, Databricks platform, Spark, and data pipeline orchestration tools is essential, often validated by Microsoft Azure or Databricks certifications. Excellent problem-solving, collaboration, and communication skills help you work effectively in distributed teams and convey complex technical concepts clearly. These skills and qualifications ensure robust data solutions, efficient remote teamwork, and the ability to leverage cloud analytics for business impact.

What are some common challenges faced by Remote Azure Databricks engineers, and how can they be managed?

Remote Azure Databricks engineers often encounter challenges related to collaboration and data security. Since Databricks projects typically involve large datasets and multiple stakeholders, coordinating work across time zones and ensuring secure data access can be complex. To manage these challenges, it's important to establish clear communication channels, use project management tools, and follow best practices in data governance. Regular team meetings and thorough documentation also help maintain alignment and ensure project success.
More about Remote Azure Databricks jobs
What cities are hiring for Remote Azure Databricks jobs? Cities with the most Remote Azure Databricks job openings:
What are the most commonly searched types of Azure Databricks jobs? The most popular types of Azure Databricks jobs are:
What states have the most Remote Azure Databricks jobs? States with the most job openings for Remote Azure Databricks jobs include:
What job categories do people searching Remote Azure Databricks jobs look for? The top searched job categories for Remote Azure Databricks jobs are:
Remote Azure Databricks jobs near you
Infographic showing various Remote Azure Databricks job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 93% Full Time, 1% Part Time, and 5% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

Azure Databricks Architect

Opinov8

Remote

$65 - $84.75/hr

Full-time

Posted 19 days ago

Job description

PROJECT OVERVIEW
We are looking for an experienced Azure Databricks Architect to design, implement, and govern enterprise-scale data platforms on Microsoft Azure. The ideal candidate will possess deep expertise in Azure Databricks, Lakehouse architecture, cloud-native data solutions, and DevOps best practices.
This role goes beyond data engineering and requires strong capabilities in platform architecture, CI/CD automation, cloud governance, security, cost optimization, and operational excellence. The successful candidate will work closely with business stakeholders, data engineers, architects, and DevOps teams to build scalable, secure, and highly available analytics platforms
IN THIS ROLE, YOU WILL
• Architect and design enterprise-scale data platforms leveraging Azure Databricks and Azure cloud services;
• Define and implement Lakehouse architecture patterns using Delta Lake and Databricks best practices;
• Design scalable data ingestion, transformation, and serving frameworks supporting both batch and streaming workloads;
• Design and implement real-time and near real-time data processing solutions using Structured Streaming, CDC, Change Data Feed (CDF), and event-driven architectures;
• Design and manage multi-workspace Databricks environments and shared Metastore architectures.
• Establish platform governance, security controls, cluster policies, RBAC models, and access management frameworks;
• Design and implement CI/CD pipelines for Databricks assets, infrastructure, and data workloads.
• Automate infrastructure provisioning using Infrastructure as Code (Terraform, ARM, or Bicep);
• Develop deployment strategies and release management processes across development, staging, and production environments;
• Optimize Databricks workspaces, clusters, jobs, and storage configurations for performance and cost efficiency;
• Implement monitoring, alerting, logging, and observability solutions for platform operations;
• Define and enforce data architecture standards, data quality frameworks, and governance policies;
• Integrate Azure Databricks with Azure Data Factory, Azure Synapse, Azure Storage, Azure Key Vault, Azure Entra ID, and other Azure services;
• Support Lakeflow Connect, managed connectors, CDC implementations, and enterprise data ecosystem interoperability;
• Collaborate with engineering and business teams to translate requirements into scalable technical solutions;
• Provide architectural guidance, technical leadership, and mentorship to engineering teams.
IF YOU ARE
  • 7+ years of experience in Data Engineering, Data Platform Engineering, Cloud Data Architecture, or Data Platform Consulting.
  • 3+ years of hands-on experience architecting solutions with Azure Databricks.
  • Strong expertise in Apache Spark, PySpark, Delta Lake, and Databricks Lakehouse architecture.
  • Hands-on experience with Unity Catalog, data governance, lineage, permissions models, and catalog isolation strategies.
  • Experience designing and managing Databricks Metastore and multi-workspace architectures.
  • Strong knowledge of Databricks administration, user provisioning, RBAC, workspace management, and security controls.
  • Extensive experience designing cloud-native solutions on Microsoft Azure.
  • Strong knowledge of Azure Data Factory, Azure Storage, Azure Key Vault, Azure Monitor, Azure Entra ID, and Azure networking concepts.
  • Experience designing streaming and low-latency data pipelines using Databricks Structured Streaming.
  • Hands-on experience with CDC, Change Data Feed (CDF), and modern data ingestion patterns.
  • Hands-on experience building and maintaining CI/CD pipelines using Azure DevOps and/or GitHub Actions.
  • Experience implementing Infrastructure as Code using Terraform, ARM Templates, or Bicep.
  • Strong understanding of DevOps principles, deployment automation, and environment management.
  • Strong SQL and Python programming skills.
  • Excellent communication, stakeholder management, and consulting skills.
NICE TO HAVE
  • Knowledge of Terraform or Infrastructure as Code (IaC).
  • Databricks certifications.
  • Microsoft Azure certifications.
  • Experience with Lakeflow Connect and managed connectors.
  • Experience with Kubernetes and containerized workloads.
  • Experience with Microsoft Fabric.
AS AN OPINOV8R, YOU WILL HAVE
  • Digital-First Approach: Great talent knows no borders! You can work from wherever you are - we hire and collaborate with professionals worldwide.
  • Remote Work Model: Balance your professional and personal life with our flexible working conditions, empowering you to deliver your best from anywhere.
  • Exciting Projects: Dive into impactful projects across industries that challenge and spark creativity.
  • Boost Your Expertise: Grow your career with continuous learning, development opportunities, and hands-on experience.
  • Join the Best Team Ever: Collaborate with our diverse and cross-cultural team of passionate technologists and creative thinkers.
HOW'S THE HIRING PROCESS GOING
We strive to make our hiring process smooth and transparent to find the perfect match for both sides. Steps may differ depending on the role, but here's what to expect:
  • Initial Interview: If your background fits the role, we'll invite you for an interview with a Talent Acquisition Specialist.
  • Technical Interview: Depending on the position, you may complete a technical assessment or test task.
  • Client Interview
  • Final Decision: After all steps, we'll get back to you with the result and next steps.

Department Data Engineering Role Senior Data Engineer Locations LATAM, USA Remote status Fully Remote Employment type Full-time

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