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Remote Azure Databricks Jobs in Oregon (NOW HIRING)

360training

Data Architect Manager

This is a remote position and we are looking to hire in the following states: AZ, FL, GA, NJ, PA ... Experience with tools such as Azure Data Lake, Azure Data Factory, Microsoft Fabric, Databricks ...

phData

Solutions Architect

OR · On-site +1

$63 - $83/hr

Snowflake, Databricks, Google BigQuery, AWS, Microsoft Azure, Google Cloud Platform. * Hands-on ... Remote-First Work Environment * 401k plan with company match * Dental and Vision insurance * Home ...

PointClickCare

(Canada) Principal ML System Engineer

OR · On-site +1

$176K - $195K/yr

Sufficient familiarity with Azure Machine Learning components, Databricks processing and serverless ... AJ1 #LI-remote $176,000 - $195,000 a year At PointClickCare, base salary is one of the many ...

phData

Technical Delivery Manager

OR · On-site +1

... remote, global, outcomes-driven environment. Required Qualifications Experience * 5+ years of ... Experience working with cloud data platforms such as Snowflake, Databricks, and Azure Synapse in a ...

SOSi

Senior Data Scientist

OR · On-site +1

Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is ... Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work ...

phData

Applied AI Solutions Architect

OR · On-site +1

$63 - $83/hr

Experience with modern cloud, data, and AI ecosystems such as Snowflake, Databricks, AWS, Azure ... Remote-First Work Environment * 401k plan with company match * Dental and Vision insurance * Home ...

Descope

Solutions Engineer, Enterprise Sales

OR · On-site +1

S Remote What You'll Do: * Own the technical sales motion from discovery through close, including ... Understanding of cloud infrastructure platforms (AWS, GCP, Azure) and how identity integrates with ...

UMB Financial

Data Product Manager

OR · On-site +1

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... Azure), modern data platforms (Snowflake, Databricks), and data processing frameworks (Hadoop ...

All JobsAzure Databricks JobsRemote Azure Databricks JobsRemote Azure Databricks Jobs in Oregon

Remote Azure Databricks information

What is a remote Azure Databricks?

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.

What skills and qualifications are needed to thrive as a remote Azure Databricks professional?

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 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.

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.

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

The most popular types of Azure Databricks jobs in Oregon are:

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

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

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

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

What cities in Oregon are hiring for Remote Azure Databricks jobs?

Cities in Oregon with the most Remote Azure Databricks job openings:

Remote Azure Databricks jobs near you
Infographic showing various Remote Azure Databricks job openings in Oregon as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Data Architect Manager

Remote

360training
Education • 201 - 500 employees
Learn more about 360trainingexternal

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 25 days ago

Job description

360training
At 360training, we’re more than an online training provider—we’re on a mission to empower people and organizations to thrive. As a fast-growing leader in online and live training across multiple industries, we deliver regulatory-approved training and certifications that power careers and businesses.
Our culture is grounded in two values: Deliver Results and Do the Right Thing. We operate as a collaborative, performance-driven organization where data plays a critical role in shaping strategy and outcomes. If you’re excited to turn analytics into impact and influence meaningful decisions, 360training is the place for you.
This is a remote position and we are looking to hire in the following states:
AZ, FL, GA, NJ, PA, TN, TX, UT, ID, MI, MO and WI
THERE IS NO VISA SPONSORSHIP FOR THIS ROLE
Role Summary
360training is looking for a hands-on data platform leader to help modernize our data architecture and build the foundation for AI, analytics, and trusted reporting.
This role will help design and deliver a modern cloud data platform, with an emphasis on the Azure ecosystem, while bringing strong experience from modern platforms such as Microsoft Fabric, Databricks, Snowflake, Synapse, AWS, or similar technologies. The right candidate is both technical and practical: someone who can set architecture patterns, guide engineers, improve legacy data environments, and personally dive into implementation details when needed.
This is not a traditional BI reporting role. We need someone who understands modern data platforms, AI-ready data architecture, medallion or lakehouse design patterns, governance, schema evolution, and how to create reliable data products that can support reporting, analytics, applications, data science, and AI-enabled workflows.
Responsibilities
  • Lead the design and implementation of modern cloud data-platform capabilities, with a primary focus on Azure-based architecture and delivery.
  • Lead, coach, and develop a team of data engineers while establishing high standards for technical excellence and delivery
  • Provide technical leadership by making architectural decisions, mentoring engineers, reviewing designs, and driving best practices across the data platform.
  • Establish practical patterns for ingestion, transformation, medallion-style data layers, data quality, lineage, governance, security, testing, and consumption.
  • Build scalable approaches for onboarding new sources, tables, columns, attributes, and acquired-company data without creating brittle one-off solutions.
  • Create governed data products that can support Power BI, analytics, operational reporting, data science, AI search, summarization, predictive analytics, and future agent-based workflows.
  • Move business logic, metric definitions, and reusable transformations into governed, version-controlled platform layers rather than scattered reports, spreadsheets, scripts, or stored procedures.
  • Partner with BI, analytics, engineering, product, finance, and business teams to improve data trust, reporting reliability, platform usability, and delivery speed.
Required Experience
  • 7+ years of experience in data engineering, data architecture, analytics engineering, or cloud data-platform delivery.
  • Experience serving as the technical authority for enterprise data platforms, balancing hands-on delivery with mentoring, design reviews, and long-term architectural direction.
  • Hands-on experience building or modernizing cloud data platforms using Azure, Microsoft Fabric, Databricks, Snowflake, Synapse, AWS, or similar technologies.
  • Strong understanding of lakehouse, medallion, data warehouse, and data modeling patterns, including when dimensional modeling is useful and when it should not drive the entire architecture.
  • Experience with tools such as Azure Data Lake, Azure Data Factory, Microsoft Fabric, Databricks, Synapse, Power BI, Purview, dbt, Snowflake, SQL, Python, Delta Lake, or similar technologies.
  • Practical experience with schema evolution, metadata-driven ingestion, pipeline automation, data quality checks, lineage, security, access control, documentation, and observability.
  • Experience preparing enterprise data for AI-enabled use cases, such as governed data access, semantic consistency, search, summarization, data science, predictive analytics, or agent-based workflows.
  • Strong SQL skills and the ability to design, review, debug, and optimize data pipelines, models, and transformations.
  • Experience improving legacy data environments with complex pipelines, inconsistent definitions, fragmented reporting logic, Power BI dependencies, stored procedures, or manual processes.
  • Ability to lead technical execution while communicating clearly with business and technology stakeholders.
  • Hands-on leadership style with the ability to set standards, guide a small team, and still build, review, troubleshoot, and deliver directly when needed.
We Offer Great Benefits:
  • Competitive salary and annual bonus
  • Flexible time off and company recognized holidays
  • 401k Pension Plan with company match contributions
  • Short-Term and Long-Term Disability
  • Life Insurance- Basic, Voluntary, and AD amp;D
  • Healthcare- Medical, Dental, Vision, and MDLive
  • Flexible spending amp; Health Savings Accounts (HSA)
  • Employee Assistance Program (EAP

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