Databricks · 2 days ago
Specialist Solutions Architect - Data Science / Machine Learning (Public Sector)
Washington, VA
Full-time
Onsite
Senior Level
$161K/yr - $226K/yr
7+ years expDatabricks is the data and AI company, and they are seeking a Specialist Solutions Architect on the Public Sector team. In this role, you will guide customers in building big data solutions focused on machine learning use cases and provide technical leadership to ensure successful implementations on the Databricks Lakehouse Platform.
AnalyticsArtificial Intelligence (AI)Data IntegrationData ManagementData StorageInformation TechnologyMachine Learning
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from feature engineering, training, tracking, registry, serving to model monitoring all within a single platform
Architect production level workloads, including end-to-end ML pipelines load performance testing and optimization
Serve as the trusted technical advisor for customers developing GenAI and Agentic solutions, such as RAG architectures on enterprise knowledge repos, MCP tool integration, querying structured data with natural language, content generation, and monitoring
Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures
Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
Contribute to adoption of a variety of the ML offerings Databricks with customers as well as the larger Databricks Community
Qualification
Required
Must be eligible and willing to be processed for a U.S. Government clearance
7+ years experience in a technical role with expertise in: Data Scientist/ML Engineer: model selection, model lifecycle, model scaling, AutoML, hyperparameter tuning, model serving, model monitoring, deep learning
MLOps Engineer: Build and maintain cloud infrastructure that supports the deployment of ML models and algorithms, monitors data drift, integration with production systems
Extensive experience in applying Data Science / ML in production to build data-driven products for solving business problems
Experience maintaining and extending production data systems to evolve with complex needs
Deep Specialty Expertise regarding ML concepts including Model Tracking, Model Serving and other aspects of productionizing ML pipelines in distributed data processing environments like Apache Spark, using tools like MLflow
Production programming experience in SQL and Python, Scala, or Java
4 years professional experience with Big Data technologies (e.g. Spark, Hadoop, Kafka) and architectures
2 years customer-facing experience in a pre-sales or post-sales role
Can meet expectations for technical training and role-specific outcomes within 6 months of hire
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
Ability to travel up to 30% when needed in and around the DMV area
Preferred
DoD Secret or Top Secret Clearance
Benefits
Annual performance bonus
Equity
Company
Databricks
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture.
5001-10000 employees
Funding
Current Stage
Late StageTotal Funding
$25.81BKey Investors
Counterpoint GlobalFranklin TempletonAndreessen Horowitz
2025-12-16Series Unknown· $4B
2025-09-08Series Unknown· $1B
2025-01-13Debt Financing· $5.25B
Leadership Team
Ali Ghodsi
CEO and Co-founder
David Conte
Chief Financial Officer
Recent News
2026-01-22
Company data provided by crunchbase