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Databricks Architect Jobs in Virginia (NOW HIRING)

Data Engineer - Databricks

Mclean, VA · On-site

$110K - $160K/yr

Lead and architect migrations of data using Databricks with focus on performance, reliability, and scalability. * Assess and understand ETL jobs, workflows, data marts, BI tools, and reports

Lead and architect migrations of data using Databricks with focus on performance, reliability, and scalability. * Assess and understand ETL jobs, workflows, data marts, BI tools, and reports

Lead and architect migrations of data using Databricks with focus on performance, reliability, and scalability. * Assess and understand ETL jobs, workflows, data marts, BI tools, and reports

Work you'll do As a Databricks Manager on the AI & Data team, you will be responsible for ... Lead solution reviews and design update discussions to drive architecture decisions and secure ...

Azure Databricks Engineer

Fairfax, VA · On-site

$96K - $132K/yr

Architect and optimize data lakehouse solutions leveraging Delta Lake format and partitioning ... Configure and manage Databricks workspaces, clusters, and compute resources. * Implement security ...

Databricks Data Engineer

Rosslyn, VA

$130K - $156K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ... Apply data architecture, integration, and data modeling practices to improve data quality ...

Databricks Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ... Apply data architecture, integration, and data modeling practices to improve data quality ...

Sr Databricks Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Lead, coach, and develop teams of data engineers and architects, fostering technical growth and ... Databricks on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) • ...

Databricks Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ... Apply data architecture, integration, and data modeling practices to improve data quality ...

Sr Databricks Data Engineer

Mclean, VA

$115K - $139K/yr

Lead, coach, and develop teams of data engineers and architects, fostering technical growth and ... As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and ...

Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

Design secure, scalable data platforms leveraging Databricks (Spark, Delta Lake) and Palantir Foundry * Establish architecture standards for data integration, metadata, lineage, and data quality

Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

Design secure, scalable data platforms leveraging Databricks (Spark, Delta Lake) and Palantir Foundry * Establish architecture standards for data integration, metadata, lineage, and data quality

Sr Databricks Data Engineer

Rosslyn, VA · On-site

$130K - $156K/yr

Lead, coach, and develop teams of data engineers and architects, fostering technical growth and ... As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and ...

P-1366 About Databricks At Databricks, we are passionate about enabling data teams to solve the ... Architect Scalable Systems: Design and implement highly available backend services using Scala ...

Data Architect

Arlington, VA

$73.25 - $94.25/hr

Design secure, scalable data platforms leveraging Databricks (Spark, Delta Lake) and Palantir Foundry * Establish architecture standards for data integration, metadata, lineage, and data quality

Lead Databricks Engineer

Virginia Beach, VA · Remote

$97K - $128K/yr

Collaborate with architecture, governance, and business teams to ensure scalable and governed data ... Strong hands-on experience with Azure Databricks and PySpark * Proficiency in Python for data ...

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Showing results 1-20

Databricks Architect information

What is the difference between Databricks Architect vs Data Engineer?

AspectDatabricks ArchitectData Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, Spark, cloud platforms (AWS, Azure), SQLSQL, ETL tools, cloud platforms, programming (Python, Scala)
Work EnvironmentData platforms, cloud environments, collaboration with data teamsData pipelines, databases, cloud infrastructure, scripting

While both roles work with data and cloud platforms, a Databricks Architect primarily focuses on designing and implementing data solutions using Databricks, whereas a Data Engineer builds and maintains the data pipelines and infrastructure that support these solutions. The Architect often oversees the technical design, while the Engineer handles the day-to-day pipeline development.

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

To thrive as a Databricks Architect, you need strong expertise in big data engineering, cloud platforms (such as Azure or AWS), distributed computing, and proficiency in languages like Python or Scala, typically supported by a relevant degree and cloud certifications. Familiarity with Databricks Workspace, Apache Spark, Delta Lake, and CI/CD tools is crucial for designing and implementing scalable data solutions. Excellent problem-solving, communication, and project management skills set top performers apart by enabling effective collaboration and solution delivery. These competencies are essential for architecting reliable, high-performance data platforms that drive business insights and innovation.

What are some common challenges Databricks Architects face when designing large-scale data solutions?

Databricks Architects often encounter challenges such as optimizing cluster performance for cost and efficiency, ensuring data security and compliance across distributed environments, and integrating Databricks with legacy systems or diverse data sources. They must carefully design data pipelines and workflows to handle large volumes of data without bottlenecks, and also collaborate closely with data engineers, data scientists, and IT teams to align on best practices. Staying updated with evolving Databricks features and cloud platform updates is also essential for success in this dynamic role.

Are data architects in high demand?

Data architects, including those working with platforms like Databricks, are in high demand due to the increasing need for scalable data management and analytics solutions. Organizations seek professionals with expertise in data modeling, cloud environments, and tools like Spark and SQL to design and maintain complex data systems.

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 with extensive expertise in cloud platforms and data engineering can command higher salaries, often exceeding $200,000.

What is a Databricks architect?

A Databricks architect is a professional responsible for designing, implementing, and managing data solutions using the Databricks platform. They typically have expertise in big data, cloud environments, and Spark, and work to optimize data workflows and analytics infrastructure.

Will AI replace Solution Architect?

A Databricks Architect, who designs and implements data solutions on the Databricks platform, is unlikely to be fully replaced by AI. While AI can automate certain tasks like data processing and code generation, Solution Architects require strategic planning, domain expertise, and client interaction that currently cannot be fully automated.
What are the most commonly searched types of Databricks Architect jobs in Virginia? The most popular types of Databricks Architect jobs in Virginia are:
What job categories do people searching Databricks Architect jobs in Virginia look for? The top searched job categories for Databricks Architect jobs in Virginia are:
What cities in Virginia are hiring for Databricks Architect jobs? Cities in Virginia with the most Databricks Architect job openings:
Infographic showing various Databricks Architect job openings in Virginia as of June 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Data Engineer - Databricks

Steampunk

Mclean, VA • On-site

$110K - $160K/yr

Other

Posted 16 days ago


Job description

Overview
We are looking for seasoned a Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks. We are looking for more than just a "Data Engineer", we are looking for a technologist with excellent communication and customer service skills and a passion for data and problem solving.
Contributions
  • Lead and architect migrations of data using Databricks with focus on performance, reliability, and scalability.
  • Assess and understand ETL jobs, workflows, data marts, BI tools, and reports
  • Address technical inquiries concerning customization, integration, enterprise architecture and general feature/functionality of data products
  • Experience working with database/data warehouse/data mart solutions in cloud (Preferably AWS. Alternatively Azure, GCP).
  • Key must have skill sets - Databricks, SQL, PySpark/Python, AWS
  • Support an Agile software development lifecycle
  • You will contribute to the growth of our AI & Data Exploitation Practice!

Qualifications
Required
  • Ability to hold a position of public trust with the US government.
  • 2-4 years industry experience coding commercial software and a passion for solving complex problems.
  • 2-4 years direct experience in Data Engineering with experience in tools such as:
    • Big data tools: Databricks, Apache Spark, Delta Lake, etc.
    • Relational SQL (Preferably T-SQL. Alternatively pgSQL, MySQL).
    • Data pipeline and workflow management tools: Databricks Workflows, Airflow, Step Functions, etc.
    • AWS cloud services: Databricks on AWS, S3, EC2, RDS (or Azure equivalents).
    • Object-oriented/object function scripting languages: PySpark/Python, Java, C++, Scala, etc.
    • Experience working with Data Lakehouse architecture and Delta Lake/Apache Iceberg.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases.
  • Experience manipulating, processing, and extracting value from large, disconnected datasets.
  • Ability to inspect existing data pipelines, discern their purpose and functionality, and re-implement them efficiently in Databricks.
  • Experience manipulating structured and unstructured data.
  • Experience architecting data systems (transactional and warehouses).
  • Experience the SDLC, CI/CD, and operating in dev/test/prod environments.
  • Experience with data cataloging tools such as Informatica EDC, Unity Catalog, Collibra, Alation, Purview, or DataZone is a plus.
  • Commitment to data governance.
  • Experience working in an Agile environment.
  • Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models.

About steampunk
Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $110,000 to $160,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.