Hybrid role Alameda, CA (Onsite 4 days, 1 day remote, Only Locals no Relocation ) - Hiring for Data Engineering Lead OR Data Architect - 6 months contract

Those who are authorized to work in the United States without employer sponsorship are encouraged to apply (NO C2C , No Vendors) 

Hybrid role Alameda, CA (Onsite 4 days, 1 day remote, Only Locals no Relocation ) - Hiring for Data Engineering Lead OR Data Architect - 6 months contract 

Skills : Data Governance & Data Quality, Databricks + AWS Cloud Data Platforms, Data Architecture & Solution Design, Data Mesh/Data Product mindset

Required Qualifications
12+ years of progressive experience in Data & Analytics leadership roles with strong foundations across Data Engineering, Data Architecture, Analytics, Data Management, and Data Governance.
Demonstrated hands-on experience delivering enterprise-scale data and analytics solutions prior to moving into leadership roles.
Proven experience partnering with senior business leaders and translating strategic priorities into scalable, technology-enabled solutions.
Expertise in operating across business functions, Functional BRMs, Data & Analytics, Architecture, Engineering, and IT organizations within complex matrixed environments.
Deep understanding of modern data architectures, cloud-based analytics ecosystems, enterprise data platforms, and product-oriented delivery models, including experience with technologies such as Databricks, Snowflake, Amazon Redshift, and related cloud data platforms.
Strong experience with AWS cloud services and architectures supporting enterprise Data & Analytics platforms.
Hands-on experience with Databricks, including Lakehouse architecture principles, Delta Lake, Unity Catalog, and modern data governance practices.
Experience with enterprise analytics and business intelligence platforms, including Power BI, Tableau, Qlik Sense, or similar technologies, supporting self-service analytics, reporting, and data-driven decision making.
Experience establishing and scaling Data Products, Data Product operating models, Data Mesh principles, domain-oriented ownership, and business-led data governance practices.
Experience leading conceptual solution design and influencing architecture, platform, and technology decisions in partnership with Architecture and Engineering teams.
Exceptional communication, facilitation, stakeholder management, and executive presentation skills, with the ability to influence senior business executives, IT leadership, and cross-functional stakeholders.
Proven ability to lead through influence, drive alignment, and make decisions across complex global matrix organizations
Strong strategic thinking, business acumen, and problem-solving capabilities with the ability to balance business priorities, technical considerations, and long-term platform sustainability

Preferred Qualification

Experience in the healthcare industry, including regulated environments involving patient, clinical, or healthcare data.
Familiarity with modern GenAI and LLM frameworks, including experience with evaluating or implementing AI, Generative AI, and LLM-based solutions within enterprise environments.
Exposure to applied AI/ML initiatives, including model governance, MLOps concepts, or responsible AI practices.
Experience with Customer Data Platform (CDP) technologies.