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Databricks Architect Jobs in Washington (NOW HIRING)

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 ...

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 ...

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 · 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 ...

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.

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.

Steampunk

Data Engineer - Databricks

Mclean, VA

$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

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

Steampunk

Data Engineer - Databricks

Mclean, VA

$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

VensIT Corp

Lead Databricks Integration

Washington, DC · On-site

$116K - $152K/yr

Professional Experience: 8+ years of experience in IT solution architecture, application design, or ... Hands-on Databricks & Language Mastery: Authoritative, hands-on engineering experience using the ...

Apex Systems

RSA Databricks Consultant

Arlington, VA · On-site

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

New

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 ...

New

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

Innodata Inc.

Solution Architect

Washington, DC

$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 ...

New

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

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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, 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.

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
Lead Data Architect

Lead Data Architect

Karsun Solutions, LLC

Herndon, VA • On-site

$160K - $190K/yr

Full-time

Re-posted 9 days ago

Job description

Why Karsun?
Join Karsun Solutions to grow your career with the company transforming possible for the US Government.
At Karsun, collaboration drives our community. We're committed to building an environment where team members from diverse backgrounds can innovate, learn and grow with us. Here at Karsun, the only limit to your potential is the limit of your curiosity.
Join Team Karsun, and Find Your Next!
Summary
The Lead Data Architect will design, build, and operate enterprise data platforms that power GenAI and AI/ML use cases. This is a highly technical, hands-on role responsible for data platform architecture, end-to-end data engineering, ML/LLM pipeline design, production model onboarding, and delivery of scalable Databricks- centric solutions across cloud environments.
What You'll Be Doing:
  • Architect and implement enterprise data platforms (batch + streaming) optimized for ML, LLMs, and GenAI workloads.
  • Lead design and hands on implementation of Databricks workspaces, Unity Catalog, Delta Lake design patterns, cluster policies, and performance tuning.
  • Build and own end to end data pipelines (ingest, transform, feature engineering, serving) using PySpark, Databricks Jobs, Spark SQL, Delta Lake, and orchestration tools.
  • Design and operationalize model training, fine tuning (LLM), evaluation, deployment, and monitoring pipelines (MLOps/RAG/CAG) integrating Databricks MLflow, CI/CD, and infra-as-code.
  • Implement vectorless and vectorization/embedding pipelines, vector store integrations, and retrieval layers for RAG (FAISS, Pinecone, Weaviate, Milvus).
  • Define data schemas, governance, lineage, access controls, and data product APIs; implement Unity Catalog or equivalent for centralized governance.
  • Drive cost/performance optimization for storage, compute (spot/preemptible),and query patterns.
  • Collaborate with engineers, data scientists, product owners, and security to translate business needs into production GenAI solutions.
  • Mentor and lead engineering teams; conduct architecture reviews, code reviews, and run technical deep dives.
  • Implement observability for data and ML pipelines (metrics, logging, data quality tests, alerting).
  • Create reproducible experiment tracking, model registry, and rollout strategies (canary, shadow testing, rollback).
  • Stay current on GenAI/LLM architectures and evaluate/introduce new tooling and frameworks.

Required Qualifications:
  • BA or BS degree in CS, Computer Engineering, Information Technology or a
    related field.
  • 8+ years hands on experience in data engineering/platform architecture; 3+ years in an architect or lead role.
  • Candidate must hold an active AWS Certified Machine Learning - Specialty certification.
  • Proven, hands on Databricks experience (designing workspaces, Delta Lake, performance tuning, productionizing Spark jobs).
  • Deep Spark + PySpark expertise and experience with Databricks Runtime.
  • Strong experience building ML/LLM pipelines and operationalizing models (training, fine tuning, serving).
  • Practical experience with vector embeddings, semantic search, and RAG architectures.
  • Solid Python expertise and common ML libraries (PyTorch, TensorFlow, Hugging Face transformers) and MLflow.
  • Cloud platform experience (AWS strongly preferred).
  • Experience with containerization and orchestration while leveraging open source libraries for unstructured and structured data processing, serving/inference.
  • Strong SQL skills; experience with distributed query/warehouse systems and parquet/AVRO/Delta formats.
  • CI/CD and infra-as-code experience (Terraform, GitOps, Jenkins/GitHub Actions/GitLab CI).
  • Data governance, security, and IAM experience; experience implementing row/column level access controls and data lineage.
  • Demonstrated ability to design for scalability, reliability, and cost efficiency.

Preferred Qualifications:
  • Prior experience with Databricks Unity Catalog, Photon, and Databricks SQL.
  • Experience integrating Databricks with vector databases (Pinecone, neo4j) and retrieval frameworks (LangChain, LlamaIndex).
  • Familiarity with AWS Bedrock or other managed LLM services.
  • Experience with realtime streaming (Kafka, Kinesis) and stream processing on Databricks Structured Streaming.
  • Certifications: Databricks Certified Professional.
  • Experience with data quality and profiling tools (Great Expectations, Soda).
  • Experience with large-scale ETL frameworks and tools (Airflow, Prefect).

Things to Know:
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
Salary Range
The proposed salary range for this role is $160,000 to $190,000 USD. The salary range provided is a good faith estimate representative of all experience levels. Karsun considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Third Party Resumes: Karsun does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Karsun and Karsun will not be obligated to pay a placement fee.
Clearance Information
This position requires the eligibility to obtain a security clearance. The Defense Industrial Security Clearance Office (DISCO), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website: https://www.state.gov/m/ds/clearances/c10978.htm
Location
To be considered for this role, you must reside in one of the following states: CA, CO, DC, FL, GA, IL, MD, NJ, NY, NC, OH, OK, PA, SC, TX, VA, WV.
Applicants must be authorized to work in the U.S. We may consider candidates currently in H-1B status who are eligible for transfer.

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