Systems Manager - Google BigQuery Platform Engineering, Enterprise Data & Analytics

Overview

Responsibilities

• Own and manage the Google BigQuery enterprise data platform, including datasets, schemas, environments, and supporting services
• Lead and oversee enterprise data intake, including batch and streaming ingestion pipelines, ensuring reliability, scalability, and timeliness
• Establish standardized data onboarding patterns to enable rapid and consistent delivery of new data sources and data products
• Define and enforce platform standards for data modeling, partitioning, clustering, transformation patterns, and development best practices
• Enable analytics, reporting, and data engineering teams to develop and deploy data products efficiently within BigQuery
• Ensure day-to-day operational excellence of the BigQuery platform, including monitoring, alerting, incident response, and root cause analysis
• Partner with Data Governance and Security teams to enforce data access controls, privacy requirements, retention policies, and auditability
• Ensure data quality controls and validation processes are embedded within ingestion and transformation workflows
• Monitor BigQuery usage and consumption, implementing cost controls and optimization strategies
• Manage, lead and develop platform engineering and operations staff supporting BigQuery and data intake services through coaching, performance management, and effective work assignment
• Execute the enterprise data platform roadmap by operationalizing approved standards and architectural decisions
• Identify opportunities to improve platform reliability, automation, and developer experience
• Support Agile delivery practices, backlog prioritization, and continuous improvement initiatives across the data platform

Qualifications

• Master's Degree and a minimum of 6 years relevant full-time work experience or
• Bachelor's Degree and a minimum of 8 years relevant full-time work 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.

• Demonstrated experience leading enterprise data platform strategy, engineering, and operations on Google Cloud, with deep expertise in Google BigQuery, preferred
• Proven end-to-end ownership of enterprise data platforms, including data ingestion, transformation, governance, and performance management, preferred
• Strong background designing and operating scalable, reliable, and cost-efficient data platforms that support analytics, regulatory reporting, and AI and ML initiatives, preferred
• Hands on experience overseeing BigQuery architecture, capacity planning, performance optimization, and cost management in large scale environments, 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
• Proven track record implementing and operating secure data ingestion and intake services with strong controls for access management, encryption, and auditability, 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
• Ability to communicate platform health, risks, cost posture, and delivery progress to senior leadership and enterprise stakeholders, preferred

• 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

• Driver's License Required
• Other: Technical certification(s) in IT Preferred

• Sit or stand to use a keyboard, mouse, and computer for the duration of the workday

• 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.