5 Results for Data Architect Jobs in San Francisco, CA

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Data and Knowledge Engineer

Menlo Park, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Data & Knowledge Engineer Company OverviewA leading artificial intelligence and advanced analytics organization is seeking a Data & Knowledge Engineer to help power next-generation AI and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data from disparate sources into unified intelligence systems that support advanced analytics, automation, and operational decision-making. This is an opportunity to work on mission-critical initiatives involving large-scale data, knowledge graphs, and AI-driven applications. Role SummaryThe Data & Knowledge Engineer will lead the onboarding, transformation, and governance of complex multimodal data into scalable data and knowledge platforms. This role focuses on integrating structured and unstructured data sources, designing reusable data pipelines, developing entity resolution frameworks, and enabling high-quality data for analytics, retrieval, AI workflows, and geospatial applications. The ideal candidate combines strong data engineering expertise with experience in knowledge graphs, data quality, and large-scale information management. Key Responsibilities<ul><li>Design and develop scalable data ingestion pipelines for structured, unstructured, geospatial, and sensor-based data sources.</li><li>Build and maintain batch and streaming data processing systems across cloud, on-premises, and disconnected environments.</li><li>Develop integrations with APIs, databases, file systems, enterprise applications, and external data sources.</li><li>Design schema mapping, normalization, and transformation processes that support diverse customer data models.</li><li>Implement entity resolution, record linkage, deduplication, and data matching capabilities across multiple sources.</li><li>Preserve data lineage, provenance, auditing, and traceability throughout the data lifecycle.</li><li>Create data validation, monitoring, replay, and exception-handling processes for complex data environments.</li><li>Develop workflows for managing ambiguous records, conflicting information, and data quality issues.</li><li>Define and measure data quality metrics, onboarding effectiveness, and operational performance indicators.</li><li>Support knowledge graph, retrieval, AI, and analytics capabilities through high-quality governed datasets.</li><li>Partner with engineering and stakeholder teams to transform recurring onboarding requirements into reusable platform capabilities.</li><li>Contribute to platform architecture, engineering standards, and long-term data strategy initiatives.</li></ul>Additional Details<ul><li>Fully onsite 5 days a week</li><li>Full-time exempt position</li><li>Hands-on engineering role with substantial ownership and technical influence</li><li>Opportunity to work on large-scale data, knowledge graph, and AI-driven initiatives</li><li>Staff-level candidates may provide architectural leadership, mentorship, and engineering guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-09-24T00:00:00Z

Agentic AI Orchestration Architect

Corte Madera, CA
onsite
Temporary / Contract
85 - 95 USD / Hourly
We are looking for an Agentic AI Orchestration Architect to join a Contract engagement supporting a retail visual production team in Corte Madera, California. In this role, you will assess how work moves across creative operations, connect existing AI-driven tools into a cohesive orchestration framework, and deliver practical improvements that can be adopted quickly. This position is ideal for a consultant who can combine technical architecture, workflow design, and stakeholder collaboration to build a scalable foundation for agentic AI in production environments. Responsibilities:• Lead onsite discovery sessions with a visual production team to analyze current processes, decision points, dependencies, and operational slowdowns.• Design an orchestration approach that connects existing AI agents, automations, and platform-specific workflows into a unified operating model without replacing effective solutions unnecessarily.• Deliver early-stage process enhancements that improve day-to-day production efficiency while defining a broader roadmap for long-term agentic AI adoption.• Create a standardized work-order and state-management framework that tracks identifiers, assets, revisions, routing logic, ownership, approvals, and auditability across the workflow.• Build rules-based routing and human review checkpoints, including support for manual status updates tied to production milestones such as studio shoots and print approvals.• Develop notification and monitoring mechanisms that provide clear visibility into task readiness, delays, exceptions, and blocked work across the end-to-end process.• Integrate tools such as Figma, Google Workspace, Box, and shared file environments using APIs, webhooks, and related connectivity patterns.• Implement safeguards that carry upstream changes through dependent downstream activities in a controlled and reliable manner.• Produce system documentation, train users on the operating model, and hand over a practical runbook with a prioritized backlog for future enhancements.
2026-10-06T00:00:00Z

Data Scientist II

San Ramon, CA
remote
Permanent / Full Time
119000 - 180000 USD / Yearly
Our client is seeking a Data Scientist II – Generative AI to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale. You will design and implement GenAI-powered agents that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment. Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.
2026-09-28T00:00:00Z

AI Engineer (AI Data Privacy, Security & Governance)

San Ramon, CA
remote
Permanent / Full Time
85000 - 124000 USD / Yearly
obert Half is seeking a Software Engineer II – AI Engineer to analyze, design, program, debug, test, implement, and support the privacy, security, and governance controls that protect generative AI technologies. This role safeguards GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, plugins, skills, and autonomous agents, by embedding data protection, security guardrails, and responsible AI governance across the development lifecycle. This role supports SDLC documentation across all phases, with a focus on data privacy, security guardrails, governance, compliance, and risk management. It also works with users to define requirements and support applications in production. What You’ll Do <ul><li>Design and implement data privacy controls, including PII/PHI detection, redaction, and data minimization. </li><li>Build security guardrails, including prompt-injection defense, jailbreak prevention, and output filtering. </li><li>Establish governance for plugins, skills, and agents, including registration, approval, and lifecycle management. </li><li>Review and vet third-party plugins, skills, and agent tools for security, privacy, and compliance risks. </li><li>Define and enforce access controls, authentication, and least-privilege permissions for AI components. </li><li>Implement guardrails for autonomous agents, including action scoping, tool-use restrictions, and human-in-the-loop approval. </li><li>Apply data classification, retention, and residency policies across GenAI data flows. </li><li>Monitor AI systems for policy violations, data leakage, and anomalous plugin, skill, or agent behavior. </li><li>Maintain audit trails and logging for plugin, skill, and agent activity. </li><li>Support compliance with regulations and frameworks, including GDPR, CCPA, and the EU AI Act. </li><li>Provide Level II production support for security, privacy, and governance incidents. </li><li>Support incident response, including containment, escalation, and remediation. </li></ul>
2026-09-28T00:00:00Z

Salesforce Technical Architect (Software Engineer IV)

San Ramon, CA
remote
Permanent / Full Time
119000 - 180000 USD / Yearly
We are looking for a Salesforce Technical Architect (Software Engineer IV) to lead the technical strategy, architecture, and delivery of a large-scale Salesforce environment. This role combines hands-on engineering with architectural ownership, guiding decisions across Salesforce and Azure while supporting secure, scalable, and high-performing solutions. The position also plays a key role in advancing data-driven marketing capabilities, AI-enabled workflows, and engineering practices that improve quality, automation, and deployment speed. Responsibilities:• Define the technical roadmap for the Salesforce ecosystem and determine the most effective approach for building capabilities within the platform or extending them through Azure-based services.• Design and oversee integrations connecting Salesforce with internal and external systems, using resilient near real-time and event-driven patterns to maintain reliable data flow.• Lead the rollout of Salesforce Data 360 and enhance supporting data pipelines that enable segmentation, analytics, and AI-powered business processes.• Establish architecture standards, review solution designs and code, and ensure engineering output meets expectations for security, scalability, and long-term maintainability.• Strengthen the software delivery lifecycle by introducing automated checks for code quality, testing, and security validation across development and release processes.• Advance CI/CD practices by improving Python-based deployment pipelines and enabling frequent, dependable releases with minimal manual effort.• Mentor a distributed team of engineers by providing technical direction, coaching on platform design patterns, and promoting consistent engineering excellence.• Build and guide development of complex Salesforce applications using Apex, Lightning Web Components, and declarative tools, while also supporting services and APIs built with Node.js and Python.• Define integration standards, API contracts, and automation frameworks that support dependable interoperability across enterprise platforms and cloud environments.
2026-09-29T00:00:00Z

5 results for Data Architect in San Francisco, CA