Staff Data Architect

Experteer Overview As a Staff Data Products Engineer & Data Architect, you will lead the design, governance, and evolution of enterprise data products and modern data platforms. You’ll shape data product strategies, cloud modernization, and scalable architectures on Google Cloud, partnering with cross-functional teams to enable data-driven decisions and AI-enabled business capabilities. You will mentor engineers, set architectural standards, and drive impactful data initiatives across domains. This is an opportunity to influence data strategy at scale and accelerate innovation in a fast-paced, data-centric organization. Compensation / Benefits * Lead the design, development, and lifecycle management of enterprise data products using product-oriented operating models * Define reusable, scalable, and governed data products across business domains * Establish standards for data product discoverability, ownership, interoperability, and consumption * Partner with business stakeholders to translate requirements into scalable data solutions * Drive adoption of Data Mesh, Data Fabric, and domain-driven data ownership frameworks * Define KPIs and success metrics for data product adoption, quality, reliability, and business value realization * Architect and optimize enterprise data platforms in Google Cloud * Lead cloud modernization and migration initiatives from legacy data platforms * Design AI-ready data architectures supporting Machine Learning, Generative AI, and advanced analytics * Partner with Data Science, AI Engineering, and Platform teams to support model development and operationalization * Build architectures supporting large-scale semantic, structured, and unstructured data processing * Establish enterprise data modeling strategies including conceptual, logical, and physical models * Establish data governance, metadata, lineage, quality, and compliance standards * Define data contracts, data product SLAs, and quality frameworks * Drive implementation of data observability, monitoring, and reliability practices * Collaborate with security and compliance teams to implement data protection strategies * Mentor senior engineers, architects, and data product teams * Create engineering standards, implementation frameworks, and operational best practices * Drive innovation through proof-of-concepts and technology evaluations Tasks * Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or related field * 10+ years of experience in Data Engineering, Data Architecture, or related disciplines * 5+ years designing and implementing cloud-native enterprise data platforms * Proven experience building large-scale Data Products and Data-as-a-Service capabilities * Experience leading enterprise architecture initiatives across multiple business domains Key requirements * health plan * dental and vision benefits * 401k match * parential leave * short- and long-term disability coverage * life insurance

data-driven monitoring, and reliability practices * Collaborate with security and compliance teams to implement data protection strategies * Mentor senior engineers, architects, and data product teams * Create engineering standards, implementation frameworks, and operational best practices * Drive innovation through proof-of-concepts and technology evaluations Tasks * Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or related field * 10+ years of experience in Data Engineering, Data Architecture, or related disciplines * 5+ years designing and implementing cloud-native enterprise data platforms * Proven experience building large-scale Data Products and Data-as-a-Service capabilities * Experience leading enterprise architecture initiatives across multiple business domains Key requirements * health plan * dental and vision benefits * 401k match * parential leave * short- and long-term disability coverage * life insurance