Source description
About the role
Required Education/Experience Master's Degree in Computer Science, Engineering, Math, Business, or technology-centric field and a minimum of 6 years relevant full-time work experience or Bachelor's Degree in Computer Science, Engineering, Math, Business, or technology-centric field and a minimum of 8 years relevant full-time work experience
Relevant Work Experience Demonstrated experience leading enterprise data platform strategy, engineering, and operations on GCP, with deep expertise in BigQuery and one or more of Dataplex / Knowledge Catalog and Vertex AI / Agent Platform, other AI / ML / LLM / Analytics GCP services, required Proven end-to-end ownership of enterprise data platforms, including data ingestion, transformation, governance, and performance management, required Hands on experience overseeing BigQuery architecture, capacity planning, performance optimization, and cost management in large scale environments, required Ability to communicate platform health, risks, cost posture, and delivery progress to senior leadership and enterprise stakeholders, required Proven track record implementing and operating secure data ingestion and intake services with strong controls for access management, encryption, and auditability, preferred Strong background designing and operating scalable, reliable, and cost-efficient data platforms that support analytics, regulatory reporting, and AI and ML initiatives, preferred Demonstrated ability to enforce enterprise standards for data quality, security, privacy, and compliance across the full data lifecycle, preferred Experience partnering closely with Data Governance, Analytics, AI and ML, and Application teams to translate enterprise data strategy into production grade solutions, preferred Experience managing internal engineering teams and external vendors, including delivery planning, performance management, and continuous improvement initiatives, preferred Demonstrated experience operating mission critical data platforms with high availability, operational resilience, and well-defined incident and recovery processes, preferred
Skills and Abilities Strong written and verbal communication skills
Builds and manages effective teams Possesses flexibility to work in a fast paced, dynamic environment Ability to work within tight timeframes and meet strict deadlines Demonstrated problem solving skills Effective interpersonal skills Ability to drive multiple projects to successful completion Demonstrated time management and priority setting skills Ability to simultaneously handle multiple priorities Well organized, detail oriented and flexible to handle multiple assignments
Licenses and Certifications Driver's License Required Other: Technical certification(s) in IT Preferred Other: Google Professional Cloud Architect Preferred Other: Google Professional Data Engineer Preferred Other: Google Associate Cloud Engineer Preferred
Physical Demands Sit or stand to use a keyboard, mouse, and computer for the duration of the workday
Additional Physical Demands The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays. Available to work off hours as operationally required
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