Top Tech Jobs & Startup Jobs in Seattle, WA

Design and implement data federation and lakehouse solutions. Build scalable ETL/ELT pipelines in Python/PySpark, optimize Spark and SQL performance, manage Delta/Iceberg/Hudi tables, enforce governance and fine-grained access, and support cloud deployments (AWS/Azure/GCP) for analytics and AI use cases.

Lead development and execution of enterprise data management strategy, governance, and quality. Oversee MDM, metadata, data lineage, catalogs, lifecycle, profiling, cleansing, and compliance. Partner with engineering, analytics, and security to deliver reliable data platforms, KPIs, and mentor a data management team.

Lead delivery of enterprise data governance, MDM, and modern data-platform components including Snowflake, CDC pipelines, schema-first contracts (JSON Schema/Avro/Protobuf), data catalog and PII classification, CI/CD schema management, AWS data services, and day-to-day leadership of an offshore delivery team.

Lead roadmap and delivery of the developer portal and DORA/OKR dashboards, remove friction in developer experience, set production operations standards, design technical upskilling curriculum (including AI-assisted tools), run community-building and hackathons, pilot AI dev tools, and manage day-to-day delivery of an offshore team while reporting status and risks to engineering leadership.

Lead micro-frontend and UI platform strategy: module federation, design system and tokens, state and CSS architecture, accessibility, performance, security (OAuth/OWASP), test automation, containerized deployment, and manage offshore senior developers to deliver large-scale portal features on schedule.

Lead frontend development using React.js to build responsive, accessible UIs. Integrate React applications with CMS platforms, implement reusable components following atomic design, and use browser storage APIs (LocalStorage, SessionStorage, IndexedDB). Collaborate with designers, backend teams, and QA, and follow Git and CI/CD workflows.

Design, build, and maintain AI-enabled applications and intelligent agents using Python and Java. Integrate LLMs, conversational AI, and ML models into enterprise systems, create APIs and microservices, ensure scalability and security, and collaborate with cross-functional teams to improve end-user journeys.

Serve as the Product Owner on an Agile Scrum team: maintain and prioritize the backlog, align roadmap and cross-channel experiences, define user stories, partner with stakeholders and vendors, measure product performance, and drive continuous improvement and innovation to deliver customer-centric product value.

Own the end-to-end discovery product strategy for search, browse, filtering, recommendations, and personalization. Prioritize findability features using analytics and A/B testing, partner with engineering and data science to improve relevance and ranking, define KPIs, manage the product backlog, run experiments, and drive cross-functional delivery and stakeholder communication.

Manage day-to-day technical project execution across cross-functional teams, maintain KPIs, dashboards, and delivery reports, coordinate tasks and sprints in Jira and Rally, and support analytics and reporting using Excel and Power BI while partnering with leadership on planning and delivery governance.