Specialist Solutions Architect - Data Science / Machine Learning (Public Sector)

FEQ127R251 As a Specialist Solutions Architect (SSA) - Data Science / Machine Learning on the Public Sector team, you will guide customers in building big data solutions on Databricks that span a large variety of machine learning use cases. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with MLFlow™ and expertise in other MLOps technologies. SSAs help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of specialty - whether that be machine learning, MLOps, industry expertise, or more. The impact you will have:

• 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 What we look for:
• Must be eligible and willing to be processed for a U.S. Government clearance
• [Preferred] DoD Secret or Top Secret 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 Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-arenaflex earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $161,300—$225,800 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including arenaflex, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, arenaflex Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Apply tot his job Apply tot his job Apply tot his job Apply To this Job