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

Lead the architecture and development of Power Apps and enterprise-scale Power BI solutions for federal customers. Build interfaces, data models, dashboards, integrations, security controls, and accessibility-compliant applications. Manage gateways, refresh strategies, performance optimization, data quality, source control, deployments, and technical documentation. Collaborate with stakeholders in an Agile environment, support security and ATO activities, lead requirements and design reviews, and mentor developers and analysts.

Serves as the technical authority for Azure SQL architecture, deployment, security, performance, operations, and migrations supporting federal programs. Designs secure Azure Government database environments, leads on-premises SQL Server migrations, develops T-SQL and data models, builds Azure Data Factory pipelines, implements DevOps and infrastructure automation, troubleshoots incidents, optimizes costs, documents standards, and mentors team members. Collaborates with engineering, architecture, data, and DevOps teams on reliable data platforms.

Designs and automates data validation, profiling, testing, monitoring, and quality frameworks for multi-source cloud data. The role uses Azure Synapse, Databricks, SQL, Python, Scala, Collibra, and Profisee to detect anomalies, enforce governance, and improve data reliability. Responsibilities include developing automated test plans, analyzing structured and unstructured datasets, supporting Azure data engineering workflows, and collaborating with engineers, analysts, data scientists, and product teams. A Public Trust or Suitability/Fitness determination may be required.

Designs and maintains scalable Azure data pipelines and ETL/ELT solutions across data lakes, warehouses, lakehouses, streaming platforms, and enterprise sources. Builds integrations using Azure Data Factory, Synapse, Databricks, Spark, Kafka, and related services; applies security, governance, monitoring, and performance optimization practices. Develops Power BI dashboards, reports, data models, and visualizations, while supporting analytics and AI/ML use cases. Collaborates in Agile teams and automates deployments through DevOps and CI/CD practices.

Designs, maintains, and optimizes SQL Server databases, ETL/ELT workflows, and enterprise data pipelines supporting a federal multi-cloud analytics platform. Integrates structured and unstructured data using Azure, Databricks, Starburst, and data lakes; troubleshoots failures, tunes performance, applies data-quality and governance controls, and supports analytics, reporting, and machine-learning use cases. Translates business requirements into technical solutions and documents data products, pipelines, and operational procedures.

Design, automate, secure, and operate multi-cloud platform environments across Azure and AWS. Build infrastructure as code, CI/CD pipelines, containerized services, observability, security controls, and enterprise data-platform integrations. Troubleshoot incidents, improve resiliency and performance, support governance and analytics services, document architecture and procedures, and provide technical leadership while collaborating with engineering, cybersecurity, data, architecture, and government stakeholders.

Designs, architects, and develops enterprise Pega solutions for Department of Veterans Affairs projects. Responsibilities include requirements gathering, Pega PRPC implementation, cloud and API integration, data modeling, code reviews, performance optimization, technical documentation, and stakeholder collaboration within Agile DevSecOps teams.

Designs, builds, and operates scalable batch and streaming data pipelines on Databricks for federal missions. Responsibilities include developing Spark and Delta Lake solutions, managing clusters and workflows, implementing Unity Catalog governance and security, optimizing ETL/ELT processes, integrating CI/CD, supporting machine learning and advanced analytics, monitoring data quality, and collaborating with technical teams and stakeholders.

Develop and deploy interactive data and AI applications on Databricks Apps. Build React and TypeScript/JavaScript interfaces, integrate Databricks data, analytics, APIs, and model-serving endpoints, and create lightweight Python or Node.js backend services. Collaborate with data engineers, data scientists, and stakeholders to prototype user workflows, implement governance and security controls, and deliver production-ready applications. Responsibilities also include CI/CD, Git-based development, documentation, Agile collaboration, and translating stakeholder needs into application features.

Provides functional and technical VistA expertise for AMPL implementation and support. Responsibilities include documenting integrations and data mappings, creating validation datasets, advising on VistA-driven design and testing decisions, defining user stories, developing test plans, supporting quality assurance, and troubleshooting interoperability issues with technical teams and stakeholders.