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Assistant Databricks Architect Jobs in California

... Databricks Assistant, or similar) to boost productivity and code quality. • Strong grasp of data architecture, pipelines, orchestration, and governance frameworks. • Proven ability to manage ...

VP, Data Engineering Technical Lead

San Diego, CA · On-site

$125K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... architecture choices and influence the enterprise roadmap. * Leverage AI to accelerate engineering :Use AI-enabled tools like Databricks Assistant, Cursor AI, GitHub Copilot, and dbt Mesh AI tests ...

Data Platform Engineer

Sacramento, CA · On-site

$60 - $68/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Databricks, ArcGIS Python API, Spatial data, Unity Catalog, AWS S3, Python, SQL We are looking for ... Hands-on experience with architecture design, ETL processes, and data pipelines. * Knowledge of CI ...

You Will * Define and evolve the architecture of legal systems, ensuring they are scalable ... Leverage Databricks/Snowflake and internal data platforms for analytics and AI workflows * Provide ...

Showing results 41-60

Assistant Databricks Architect information

What is the difference between Assistant Databricks Architect vs Data Engineer?

AspectAssistant Databricks ArchitectData Engineer
Primary FocusDesigning and supporting Databricks architecture and solutionsBuilding, maintaining, and optimizing data pipelines and databases
Required SkillsDatabricks platform knowledge, cloud services, architecture designSQL, ETL, programming (Python, Spark), data modeling
CertificationsDatabricks certifications, cloud certifications (AWS, Azure)None specific, but certifications like Google Cloud Data Engineer are common
Work EnvironmentCloud-based data platforms, collaborative teamsData warehouses, cloud or on-premises environments

The Assistant Databricks Architect focuses on designing and supporting Databricks solutions, while Data Engineers build and maintain data pipelines. Both roles require cloud and data platform knowledge, but the Architect emphasizes architecture design, whereas Data Engineers focus on data processing and pipeline development.

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The most popular types of Databricks Architect jobs in California are:

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For Assistant Databricks Architect jobs in California, the most frequently searched job titles are:

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The top searched job categories for Assistant Databricks Architect jobs in California are:

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Cities in California with the most Assistant Databricks Architect job openings:

Sr. Manager, Technical Architect - Enterprise AI Solutions

Canadian Solar Inc.

Walnut Creek, CA • On-site

Full-time

Re-posted 26 days ago


Canadian Solar rating

5.8

Company rating: 5.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Canadian Solar Inc. is a leading manufacturer of solar panels and energy solutions, committed to sustainability and employee growth. They are seeking a highly experienced AI leader to drive the design, architecture, and implementation of enterprise AI solutions across global business operations, focusing on scalable AI platforms and advanced analytics capabilities.
Responsibilities:
• Define and lead enterprise AI architecture standards, frameworks, and best practices
• Design scalable AI platforms supporting Generative AI, Agentic AI, Machine Learning, and advanced analytics
• Establish enterprise governance for AI security, compliance, model lifecycle management, and responsible AI adoption
• Partner, collaborate and influence senior leadership to identify high-value AI use cases aligned with business priorities and operational efficiency goals
• Lead the end-to-end design and deployment of enterprise AI solutions and intelligent automation initiatives
• Architect and implement AI-powered copilots, knowledge assistants, and workflow automation solutions
• Integrate AI capabilities into enterprise applications including Microsoft Dynamics 365, SAP S/4HANA, Salesforce, Service Platforms, and custom applications
• Design scalable APIs, microservices, and AI orchestration frameworks
• Lead implementation of enterprise GenAI solutions leveraging platforms such as OpenAI, Anthropic Claude, Google Gemini, Microsoft Copilot Studio, and Azure AI Services
• Design Retrieval-Augmented Generation (RAG) architectures, vector databases, prompt engineering frameworks, and enterprise knowledge management solutions
• Build secure enterprise AI integrations with internal data platforms and business systems
• Evaluate and optimize LLM performance, cost, governance, and scalability
• Collaborate with data engineering teams to establish scalable AI/ML pipelines and data architectures
• Design enterprise-grade MLOps and LLMOps capabilities including CI/CD, monitoring, observability, and model governance
• Ensure reliability, scalability, security, and operational readiness of AI platforms
• Support cloud-native AI deployments across Azure, AWS, and Google Cloud
• Serve as technical lead and mentor for AI engineers, developers, and solution architects
• Partner with business stakeholders across Manufacturing, Sales, Operations, Finance, and Supply Chain to translate business requirements into AI-enabled solutions
• Drive vendor evaluations, proof-of-concepts, and strategic partnerships related to AI technologies
• Communicate technical concepts effectively to both technical and executive audiences
Qualifications:
Required:
• Bachelor’s or master’s degree in computer science, Artificial Intelligence, Engineering, Data Science, or related discipline
• 8+ years of experience in enterprise software engineering, solution architecture, AI/ML engineering, or related technical leadership roles
• 3+ years of hands-on experience designing and deploying Generative AI / LLM-based enterprise solutions
• Experience leading enterprise-scale AI transformation initiatives in global organizations
• Strong experience with cloud-native architectures and enterprise integration platforms
• Strong proficiency in Python and modern AI/ML frameworks
• Experience with OpenAI, Anthropic Claude, Google Gemini, Microsoft Copilot Studio, LangChain, Semantic Kernel, or equivalent AI ecosystems
• Experience with vector databases, RAG architectures, AI orchestration frameworks, and prompt engineering
• Experience with TensorFlow, PyTorch, Scikit-learn, or similar frameworks
• Strong understanding of enterprise API integration, microservices, and distributed architectures
• Experience with Docker, Kubernetes, CI/CD pipelines, and DevOps practices
• Familiarity with enterprise security and AI governance requirements
• Experience integrating AI solutions with SAP S/4HANA, Microsoft Dynamics 365, Power Platform, or similar enterprise platforms
Preferred:
• Advanced degree preferred
• Experience with data engineering technologies including SQL, Spark, Databricks, or equivalent platforms is preferred
• Industry experience in Renewable Energy, Manufacturing, Industrial Technology, Utilities, Energy Storage, Global Supply Chain Operations preferred
Company:
Canadian Solar was founded in 2001 in Canada and is one of the world's largest solar technology and renewable energy companies. Founded in 2001, the company is headquartered in Guelph, CAN, with a team of 10001+ employees. The company is currently Late Stage.

What Canadian Solar employees say

Pay

Benefits

Hours and flexibility

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