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Databricks Architect Jobs in Washington, DC (NOW HIRING)

Analytica

Systems Architect - DevSecOps

Bethesda, MD · On-site

$125 - $150/hr

Databricks Lakehouse Platform * Apache Spark * Distributed data processing frameworks * Enterprise data platform architecture * Cloud migration and modernization strategies Infrastructure ...

Deloitte

Azure/Databricks Infrastructure Engineer

Mclean, VA · On-site

$56.25 - $75.25/hr

Participate in architecture reviews, technical workshops, client discussions, and operational ... As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure ...

TEKFORTUNE INC

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 ...

Karsun Solutions, LLC

Lead Data Architect

Herndon, VA

$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 ...

SiloSmashers

Data Architect

Washington, DC · On-site

$72.25 - $92.75/hr

Build and optimize Databricks pipelines using Delta Lake, PySpark/SQL notebooks, and medallion (bronze/silver/gold) architecture patterns to structure raw, cleansed, and analytics-ready data layers.

Steampunk

Data Engineer - Databricks

Mclean, VA · On-site

$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

Karsun Solutions

Lead Data Architect

Herndon, VA · On-site

$150 - $200/hr

Summary Senior/Lead technical data architect to design, build, and operate enterprise data ... Lead design and hands‑on implementation of Databricks workspaces, Unity Catalog, Delta Lake ...

SiloSmashers

Data Architect

Washington, DC · On-site

$150 - $200/hr

Build and optimize Databricks pipelines using Delta Lake, PySpark/SQL notebooks, and medallion (bronze/silver/gold) architecture patterns to structure raw, cleansed, and analytics-ready data layers.

Berkley

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 ...

SiloSmashers

Data Architect

Washington, DC · On-site

$68 - $87.50/hr

Build and optimize Databricks pipelines using Delta Lake, PySpark/SQL notebooks, and medallion (bronze/silver/gold) architecture patterns to structure raw, cleansed, and analytics-ready data layers.

Tenacity Solutions LLC

Be Seen First

Databricks Certified Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Collaborate with Data Architects, Data Scientists, Business Analysts, Cloud Engineers, and DevOps ... Databricks Certified Data Engineer Professional certification - REQUIRED * 7+ years of experience ...

New

Karsun Solutions, LLC

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 ...

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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 Washington, DC?

The most popular types of Databricks Architect jobs in Washington, DC are:

What are popular job titles related to Databricks Architect jobs in Washington, DC?

For Databricks Architect jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Databricks Architect jobs in Washington, DC look for?

The top searched job categories for Databricks Architect jobs in Washington, DC are:

Databricks Architect jobs near you
Infographic showing various Databricks Architect job openings in Washington, DC as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution.

Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games

Databricks

Washington, DC • On-site

$118K - $162K/yr

Full-time

Re-posted 28 days ago

Job description

CSQ127R318

As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. 

This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.

The impact you will have:

  • Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
  • Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer
  • Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
  • Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
  • Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
  • Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
  • Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

  • 6+ years experience in data engineering, data platforms & analytics, or software engineering
  • Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
  • Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals
  • Familiarity with CI/CD for production deployments
  • Working knowledge of MLOps, ML/AI models and AI APIs
  • Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
  • Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
  • Documentation and white-boarding skills.
  • Experience working with enterprise clients and managing conflicts across a broad stakeholder range
  • Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
  • Travel to customers 20% of the time
  • Databricks Certification

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