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Remote Databricks Architect Jobs in Reston, VA (NOW HIRING)

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Create scalable and reusable training pipelines using Databricks notebooks and MLflow ... Data Integration & Architecture Alignment * Work closely with Data Engineering to align ML ...

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

Lead the design and implementation of scalable data architecture, including data pipelines, data ... Experience with SQL, Python, R, Databricks, Snowflake, Redshift, BigQuery, Synapse, Dataverse, or ...

Lovelytics

Lead Consultant, Data Engineer

Arlington, VA · On-site +1

$125K - $150K/yr

Databricks, AWS, and Azure to name a few. In addition to the technical capabilities for this role ... This role is open to remote candidates in the US. This role is not open for work sponsorship at ...

Sparibis

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Location: 100% Remote Years' Experience: 5+ years Professional Experience Education: Bachelor ... Experience with Databricks, Structured Streaming, Delta Lake concepts, and Delta Live Tables ...

ICF

Business Systems Analyst - (Remote - US)

Reston, VA · Remote

... Architects for a modernized application built on Azure with Databricks. You are responsible for bridging the gap between technical and non-technical project staff by eliciting, analyzing, documenting ...

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All JobsRemote Databricks Architect JobsRemote Databricks Architect Jobs in Reston, VA

Remote Databricks Architect information

See Reston, VA salary details

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$72

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How much do remote databricks architect jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for remote databricks architect in Reston, VA is $72.89, according to ZipRecruiter salary data. Most workers in this role earn between $64.76 and $85.05 per hour, depending on experience, location, and employer.

Can you work remotely as an architect?

Remote work is possible for a Databricks Architect, especially with the increasing adoption of flexible work arrangements in the tech industry. Many organizations allow architects to perform their duties remotely, utilizing cloud platforms, collaboration tools, and virtual communication. However, some roles may require on-site presence for meetings, training, or specific project needs.

Does Databricks allow remote work?

Remote Databricks Architects can often work remotely, depending on the company's policies and project requirements. Many organizations in data engineering and analytics support remote work, especially for roles involving cloud platforms and tools like Databricks, which facilitate collaboration and remote access. Candidates should verify specific employer policies and ensure they have the necessary technical setup for remote work environments.

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

AspectRemote Databricks ArchitectRemote Data Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding and maintaining data pipelines and infrastructure
Required SkillsDatabricks, Spark, cloud platforms, architecture designETL, SQL, Python, cloud data tools
CertificationsDatabricks certifications, cloud certificationsCloud certifications, SQL, Python skills
Work EnvironmentCollaborates with data teams, architects, and stakeholdersWorks on data pipeline development, data modeling

While both roles work within data environments and often in cloud settings, the Remote Databricks Architect focuses on designing scalable data solutions using Databricks, whereas the Remote Data Engineer primarily builds and maintains data pipelines and infrastructure. The architect role emphasizes architecture and strategy, while the data engineer role emphasizes implementation and operational tasks.

Will AI replace Solution Architect?

AI is unlikely to fully replace Solution Architects, as their role involves complex problem-solving, designing scalable systems, and understanding business needs that require human judgment. Instead, AI tools can augment their work by automating routine tasks and providing data-driven insights, allowing Solution Architects to focus on strategic planning and innovative solutions. Success in this role often depends on technical expertise, communication skills, and experience with cloud platforms like Databricks.

How much do Databricks architects make?

Databricks architects typically earn between $120,000 and $180,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in cloud platforms and big data tools may command higher salaries.
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Remote Databricks Architect jobs near you

QA Automation Engineer - Enterprise Data & AI

Priwils

Adelphi, MD • On-site, Remote

Full-time

Posted 20 days ago

Key responsibilities

  • Execute and extend automated tests within Databricks using PySpark, Python, SQL, and notebooks to validate data pipelines.

  • Perform data reconciliation between source systems and target datasets and validate ingestion processes including batch and incremental loads.

  • Develop and maintain reusable and scalable test scripts aligned with existing frameworks and integrate tests within CI/CD pipelines.

Job description

Role Summary:
We are seeking a QA Automation Engineer / SDET to support quality engineering for our Enterprise Data Platform. This role will focus on validating data pipelines and extending existing data quality frameworks within Databricks, ensuring data accuracy, quality, completeness, and reliability across the data lifecycle. This role will play a key part in implementing, enhancing, and executing data validation and data quality checks across the medallion architecture.
Key Responsibilities:
  • Execute and extend existing automated tests within Databricks using PySpark, Python, SQL, and notebooks to validate data pipelines
    This is complete Remote role - within the United States
  • Perform data reconciliation between source systems and target datasets
  • Validate ingestion processes including batch and incremental loads
  • Test transformations, joins, aggregations, and business rules for accuracy
  • Extend and enhance existing data quality frameworks and rule sets
  • Implement validation checks for data completeness, accuracy, consistency, and quality.
  • Validate thresholds, alerts, and exception handling mechanisms
  • Support tracking of data quality metrics and trends
  • Develop and maintain reusable and scalable test scripts aligned with existing frameworks
  • Integrate and execute tests within CI/CD pipelines (e.g., Azure DevOps)
  • Support testing activities across environments (QA, Staging)
  • Ensure consistent and reliable execution of automated tests
  • Partner closely with Data Engineers and Data Quality Engineers to identify, troubleshoot, and resolve data issues
  • Participate in Agile ceremonies and contribute to sprint deliverables
  • Support defect triage, root cause analysis, and retesting
  • Ensure data accuracy and consistency for downstream consumption and business reporting in data visualization tools such as Tableau.

Required Skills & Expertise:
  • 5+ years of experience in data validation, QA engineering, or SDET roles
  • Hands-on experience with creating Databricks notebooks and data pipeline validation
  • Strong proficiency in PySpark, Python, SQL, and Databricks notebooks
  • Experience working with and extending existing data validation or data quality frameworks
  • Strong experience in data reconciliation and large-scale data validation
  • Experience executing tests within CI/CD pipelines (e.g., Azure DevOps)
  • Strong analytical and problem-solving skills
  • Experience with tools such as Azure Purview and Profisee MDM is preferred.

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