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Databricks Architect Jobs in Virginia (NOW HIRING)

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production ... Architect feature-rich data layers including: * Bronze (raw ingestion) * Silver (validated ...

Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

Responsibilities : • 5+ Yrs. of experience as Data Architect • Python • SQL - Snowflake • AWS (S3) • Databricks • Tableau • Some project management skills (set up meetings, create ...

Data Engineer - Databricks

Mclean, VA

$115K - $139K/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

Summary The Lead Data Architect will design, build, and operate enterprise data platforms that ... Lead design and hands on implementation of Databricks workspaces, Unity Catalog, Delta Lake design ...

Lead Data Architect

Herndon, VA · On-site

$160K - $190K/yr

Summary The Lead Data Architect will design, build, and operate enterprise data platforms that ... Lead design and hands on implementation of Databricks workspaces, Unity Catalog, Delta Lake design ...

Lead Data Architect

Herndon, VA · On-site

$160K - $190K/yr

Summary The Lead Data Architect will design, build, and operate enterprise data platforms that ... Lead design and hands on implementation of Databricks workspaces, Unity Catalog, Delta Lake design ...

Databricks Data Engineer

Manassas, VA

$114K - $137K/yr

The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production ... Architect feature-rich data layers including: * Bronze (raw ingestion) * Silver (validated ...

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production ... Architect feature-rich data layers including: * Bronze (raw ingestion) * Silver (validated ...

Architect and Deliver Solutions: Lead the architecture and implementation of advanced solutions on Databricks, covering everything from large-scale data pipelines to production-ready AI/ML models.

Sr. Databricks Consultant

Fairfax, VA · On-site +1

$175K - $250K/yr

ECS is seeking a Sr. Databricks Consultant to work in our Arlington, VA office/remotely . Please ... Knowledge of data lakehouse architecture and best practices. * Experience with cloud data platforms ...

Architect and refine the Gold Layer (dimensional models, star schemas) specifically to maximize Power BI performance. * Optimize Databricks SQL Warehouses to support high-concurrency, low-latency ...

Data Architect

Vienna, VA · On-site

$140 - $190/hr

The Data Architect will design the Databricks gold-layer data models that serve Tableau, architect the Tableau data source (TDS) layer, define and maintain the automated and manual conversion ...

Optimize Databricks workflows, clusters, and architecture for performance, scalability, and cost efficiency. * Integrate Databricks solutions with AWS, Azure, and Google Cloud Platform cloud ...

Data Architect

Vienna, VA · On-site

$180K - $190K/yr

The Data Architect will design the Databricks gold-layer data models that serve Tableau, architect the Tableau data source (TDS) layer, define and maintain the automated and manual conversion ...

Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $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

Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $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 * Address ...

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 ...

Showing results 21-40

Databricks Architect information

What is a Databricks Architect?

A Databricks Architect is an IT professional who designs, implements, and manages data solutions using the Databricks platform, which is built on Apache Spark. They are responsible for creating scalable data pipelines, optimizing data workflows, and ensuring security and compliance within the cloud environment. Databricks Architects often work closely with data engineers, data scientists, and business stakeholders to deliver robust analytics solutions that drive business insights. Their expertise helps organizations leverage big data technologies efficiently and effectively.

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

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.

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 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 August 2026, with employment types broken down into 32% Full Time, and 68% Contract. Highlights an 81% In-person, and 19% Remote job distribution.

Sr. Solutions Engineer - Public Sector (DoW - 4th Estate)

Databricks

Washington, VA • On-site

$58.25 - $75/hr

Full-time

Re-posted 23 days ago


Job description

Job Summary:
Databricks is the data and AI company that provides a unified analytics platform. The Sr. Solutions Engineer will lead the growth of the platform by partnering with customers, providing technical leadership, and consulting on big data architecture while building strong relationships.
Responsibilities:
• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
• Build and present references architectures, how-tos, and demo applications for customers
• Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
• Travel to customers in your region
Qualifications:
Required:
• 5+ years in a customer-facing pre-sales, technical architecture, or consulting role
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
• Experience supporting Public Sector clients
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in at least one of the following: Data Engineering technologies (Ex: Spark, Hadoop, Kafka), Data Warehousing (Ex: SQL, OLTP/OLAP/DSS), Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)
• Secret security clearance or willingness to obtain one
Preferred:
• Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.