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Databricks Architect Jobs in Washington (NOW HIRING)

Steampunk

Data Engineer - Databricks

Mclean, VA · On-site

$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

Deloitte

Databricks Senior Consultant

Rosslyn, VA · On-site

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.

Steampunk

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

Berkley

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 ...

Berkley

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 ...

Deloitte

Databricks Senior Consultant

Arlington, VA · On-site

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.

HRC Global Services

Senior Data Architect

Reston, VA · Remote

$68.75 - $92/hr

Databricks * Unity Catalog * Delta Live Tables * Collibra * Alation * Informatica * Palantir Foundry * Tableau * Power BI * Qlik * AI/ML platforms * Federal or Government project experience ...

Innodata Inc.

Solution Architect

Washington, DC · On-site

$70 - $75/hr

As the Solution Architect, you'll design the backbone of the platform. You'll define the ... Databricks, Delta Lake, and MLflow - hands-on implementation experience, not conceptual * Data ...

Mindlance

Databricks Solution Architect

Washington, DC · On-site

$71.25 - $94/hr

Architect Standard III Duration: 12 Months - Long Term Location: Washington, DC 20433 Hybrid Onsite: 4 days per week from Day 1, with a full transition to 100% onsite anticipated soon. * BACKGROUND ...

Halvik

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 ...

New

ECS

Senior Databricks Migration Engineer

Arlington, VA · On-site

$130K - $158K/yr

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 ...

Steampunk

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

Steampunk

Data Engineer - Databricks

Mclean, VA

$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

Deloitte

Sr Databricks Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

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

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All JobsDatabricks Architect JobsDatabricks Architect Jobs in Washington

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?

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 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.
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Databricks Architect jobs near you
Infographic showing various Databricks Architect job openings in Washington as of August 2026, with employment types broken down into 90% Full Time, 1% Part Time, and 9% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Data Engineer - Databricks

Steampunk

Mclean, VA • On-site

$115K - $139K/yr

Full-time

Re-posted 11 days ago

Job description

In today’s rapidly evolving technology landscape, an organization’s data has never been a more important aspect in achieving mission and business goals. Our data exploitation experts work with our clients to support their mission and business goals by creating and executing a comprehensive data strategy using the best technology and techniques, given the challenge. 

AtSteampunk, our goal is to build and execute a data strategy for our clients to coordinate data collection and generation, to align the organization and its data assets in support of the mission, and ultimately to realize mission goals with the strongest effectiveness possible. 

For our clients, data is a strategic asset. They are looking to become a facts-based, data-driven, customer-focused organization. To help realize this goal, theyare leveraging visual analytics platforms to analyze, visualize, and share information. At Steampunk you will design and develop solutions to high-impact, complex data problems, working with the best and data practitioners around.Our data exploitation approach is tightly integrated with Human-Centered Design and DevSecOps. 


We are looking for seasoned 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", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. 

  • 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! 

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 

Apply