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# Senior Architect, Databricks

- **Company:** WEST Inc
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $199,100.0 - $223,400.0
- **Contract:** Permanent contract
- **Skills:** Unity 3d, Artificial Intelligence, Business Analytics Applications, Apache HTTP Server, Microsoft Azure, Big Data, Code Review, Data Architecture, Data Integrity, Data Structures, Information Retrieval, Machine Learning, Performance Tuning, OpenAI, Cloud Services, Scala (Programming Language), Sqoop, Data Streaming, Workflow Management Systems, Feature Engineering, LangChain, Large Language Models, Multi-Agent Systems, Prompt Engineering, Apache Spark, Generative AI, Agentic-AI, Data Layers, Data Lakes, Apache Flume, Data Management, Machine Learning Operations, Semantic Kernel, Data Pipelines, Databricks, Programming Languages
- **Published:** October 22, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-architect-databricks-seattle-wa--e94ec1d0-a391-4c52-8704-4c9785780854

## About the Role

Big Data, Insurance, Healthcare, Financial Services, Strategic Planning, Scala Programming Language, Analysis Skills, Apache Sqoop, Apache Spark, Use Cases, * 10+ years of professional experience and 3+ years of expeirence with Databricks

 * 8+ years of prior consulting experience
 * Very strong technical expertise in Databricks, including architecture, performance optimization, Delta Lake, Unity Catalog, workflow orchestration, security, governance, and cloud-native data engineering best practices
 * Experience architecting and deploying AI/ML or Generative AI solutions within enterprise environments
 * Hands-on experience with LLM ecosystems and frameworks such as OpenAI, Azure OpenAI, LangChain, Semantic Kernel, MLflow, or Databricks Mosaic AI
 * Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, prompt engineering, and AI orchestration patterns
 * Familiarity with AI governance, model lifecycle management, responsible AI principles, and enterprise security considerations
 * Experience integrating AI capabilities into data platforms, analytics solutions, or customer-facing applications
 * Knowledge of standard methodologies, concepts, best practices, and procedures within a Big Data environment
 * A commitment to inclusion and diversity, and openness to new ideas and perspectives
 * Travel requirements up to 30 to 50%
 * Hybrid role: 1 to 2 days a week in office

## Description

* Design data flow and processing pipelines for analysis using modern toolsets such as Spark on Scala, Storm, Flume, Sqoop
 * Design data structures for ingestion and reporting, specific to use case and technology
 * Provide data management expertise to our clients in evaluating requirements and developing data architecture and performing platform selection and design. Data management includes appropriate structuring, stewardship of data, semantics/syntax of data attributes, coding structures, and mapping schemes
 * Collaborate with data science and engineering teams to productionize machine learning and Generative AI workloads within modern cloud ecosystems
 * Establish best practices for AI data readiness, feature engineering, model monitoring, observability, and governance
 * Lead technical discussions around AI-enabled modernization strategies including semantic layers, vector databases, AI agents, and knowledge retrieval systems
 * Evaluate emerging AI technologies and recommend fit-for-purpose tooling aligned to client objectives, scalability, security, and compliance requirements
 * Guide and coach consultants, share best practices, perform code reviews
 * Coordinate activities with data source application owners to ensure integration with analytics platform and source systems
 * Ensure that data integrity issues are addressed
 * Liaise and attend meetings necessary to perform duties and aid business and technical development