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Databricks Architect Jobs in Washington, DC (NOW HIRING)

Lead the design of a Medallion Architecture (Bronze/Silver/Gold) on Databricks * Architect and maintain Vector Databases * Develop data pipelines and ETL operations * Experience creating ...

Lead the design of a Medallion Architecture (Bronze/Silver/Gold) on Databricks * Architect and maintain Vector Databases * Develop data pipelines and ETL operations * Experience creating ...

Databricks SME

Washington, DC · On-site

$63.25 - $84.50/hr

Serve as the Databricks SME and guide technical decisions for workspace architecture design, configuration, and optimization. * Lead governance processes within Databricks environments, including ...

Databricks Engineer

Adelphi, MD · On-site

$100 - $130/hr

Position Summary The Databricks Engineer will design, build, and operate a Data & AI platform with a strong foundation in the Medallion Architecture (raw/bronze, curated/silver, and mart/gold layers)

The Databricks Engineer will design, build, and operate a Data & AI platform with a strong foundation in the Medallion Architecture (raw/bronze, curated/silver, and mart/gold layers). This platform ...

The Databricks Engineer will design, build, and operate a Data & AI platform with a strong foundation in the Medallion Architecture (raw/bronze, curated/silver, and mart/gold layers). This platform ...

Databricks Developer Location: Bethesda, MD Duration: 12 Months We are seeking a highly experienced ... Ensure data solutions are secure, scalable, and aligned with architectural best practices.  ...

The Databricks Engineer will design, build, and operate a Data & AI platform with a strong foundation in the Medallion Architecture (raw/bronze, curated/silver, and mart/gold layers). This platform ...

Data Architect

Washington, DC · On-site

$150 - $190/hr

Support Databricks Lakehouse architecture, security design, common data models, migration frameworks, reporting, and analytics * Provide training, SOPs, workshops, shadowing sessions, documentation ...

New

... architectural best practices. Qualifications : Required : • Hands-on experience with AWS cloud ... Databricks Delta Lake and Lakehouse Architecture. • Strong experience in designing and ...

Strong hands‑on experience with Databricks Medallion Architecture * Bronze / Silver / Gold (also referred to as Raw / Silver / Mark layers internally) * Experience validating and testing data as it ...

Technical Architect

Washington, DC · On-site

$130 - $140/hr

Databricks Certified Architect Location: Washinton, DC ( Hybrid) Responsibilities & Skills * 12 YRS Exp * Design and implement enterprise scale solutions on the Databricks Lakehouse Platform.

Sr. Forward Deployed Engineer

Washington, DC · On-site +1

$182K - $250K/yr

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 ...

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 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:

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.

Senior Data Engineer/Architect (Databricks Pro Certified)

Infinitive

Ashburn, VA • On-site

$68.75 - $92/hr

Full-time

Re-posted 15 days ago


Job description

Job Summary:
Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We are seeking a highly skilled Data Engineer with extensive experience in Databricks on AWS or Azure to join our dynamic team, responsible for designing, building, and maintaining scalable data architectures.
Responsibilities:
• Design, develop, and implement data architectures and solutions on Databricks in both AWS and Azure.
• Collaborate with stakeholders to understand business requirements and translate them into technical specifications.
• Develop and maintain ETL processes to ensure efficient data flow and integration across systems.
• Ensure data quality, integrity, and security in all data-related activities.
• Optimize data storage and retrieval strategies to improve performance and cost-efficiency.
• Lead the implementation of data governance policies and procedures.
• Provide technical guidance and mentorship to data engineering teams.
• Stay updated with the latest industry trends and best practices in data architecture, Databricks, cloud data warehouses, AWS and Azure.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
• Proven experience as a Data Architect, with a strong focus on Databricks.
• Proficiency in Databricks, including the ability to build and optimize Spark applications.
• Extensive experience with AWS services such as S3, Redshift, EMR, Lambda, Glue, and others.
• Strong knowledge of Unity Catalog and its application in managing and securing data assets.
• Strong knowledge of data modeling, ETL processes, and data warehousing concepts.
• Proficiency in SQL and experience with big data technologies (e.g., Hadoop, Spark).
• Familiarity with data governance and data security practices.
• Databricks Certified Professional.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
Preferred:
• AWS Certified Solutions Architect or similar certification.
• Experience with other cloud platforms (e.g., Azure, GCP).
• Knowledge of machine learning and data science concepts.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Prior experience in a leadership or mentorship role.
Company:
Infinitive helps companies master the digital world with capabilities in marketing, digital advertising, business transformation and more. Founded in 2003, the company is headquartered in Washington, USA, with a team of 51-200 employees. The company is currently Growth Stage.