Data Engineering Lead - Hybrid – 4 days onsite a week @ Alameda, CA - W2 only

Must have: Data Architecture & Solution Design, Databricks + AWS Cloud Data Platforms, Data Governance & Data Quality, Business Partnership & Data Product Leadership, Healthcare/Life Sciences, AI/GenAI, Data Mesh/Data Product mindset and Experience building enterprise data capabilities from the ground up…

Required Qualifications

• 10+ 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.

Required: Bachelor's degree in Computer Science or a related field

This role is open to W2 or those seeking Corp-Corp employment. The salary range for this role is $130 - $160k. For corp-Corp rates please contact the recruiter. In addition to other benefits, Accion Labs offers a comprehensive benefits package, with Accion covering 65% of the medical, dental, and Vision Premiums for employees, their spouses, and dependent children enrolling in the Accion-provided plans.