Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Designs, builds, and maintains scalable batch and streaming data pipelines and datasets in Databricks using Python, Spark, and SQL. Supports SQL Server, SSIS, SSRS, and data warehousing environments while improving performance, reliability, data quality, and scalability. Integrates enterprise data sources, enables reporting and AI/ML workloads, and partners with business and IT teams to deliver technical data solutions.

Designs, develops, and maintains Databricks-based ETL pipelines, data lake architectures, datasets, and data quality processes supporting reporting, analytics, and AI/ML workloads. Maintains and migrates legacy SSIS and SQL Server systems, optimizes pipeline performance, and supports complex SSRS reporting. Collaborates with business users, analysts, and IT teams to define data requirements, troubleshoot issues, document solutions, and advance AI-assisted engineering practices.

Modernize and maintain a large-scale React Native mobile app with offline-first architecture, BLE device integrations, data synchronization, and performance improvements. Influence architecture, mentor developers, collaborate across teams, and occasionally visit customer farms to understand workflows.

Define and lead cloud and platform architecture for scalable, secure, cost‑efficient cloud-hosted applications. Oversee shared platform capabilities, review solution designs, embed security and governance, design data and integration platforms, lead migrations and modernization, set observability and resilience patterns, and provide technical leadership and mentorship to engineering and SRE teams.

Lead strategy, roadmap, and delivery for Oracle HCM Cloud and connected People systems. Align People and business stakeholders, govern configuration and data, manage integrations, drive automation with AI, oversee releases, change management, UAT, documentation, and ensure global compliance and scalable HR platform design.

Design, build and deploy production AI/ML solutions from complex, distributed farm data. Engineer features, select models, run experiments, move models to scalable real-time production, monitor and observe AI systems, evaluate emerging AI technologies, and collaborate with product, engineering and domain teams. Contribute to user-facing features with React/TypeScript as needed.