Define and lead enterprise data architecture strategies with a focus on Google Big query and its integrated services
Architect and oversee scalable data solutions across ingestion, data flows/data lineage, transformation, modeling, and visualization layers
Collaborate with business and technical stakeholders to align data architecture with strategic goals
Drive adoption of Google Big query as a unified platform for data engineering, analytics, and governance
Lead the development of reusable templates, frameworks, and methodologies to accelerate delivery
Present architectural concepts and roadmaps to both technical teams and executive stakeholders
Stay current with emerging trends in data architecture and cloud platforms

Requirements

Proven experience delivering enterprise data architecture solutions, including cloud-native platforms
Deep understanding of Google Big query components
Strong background in data modeling, ETL/ELT
Demonstrated ability to lead pre-sales efforts and architect solutions in client-facing environments
Excellent communication and stakeholder management skills, including C-suite engagement
Strong organizational and time-management skills to balance delivery and strategic initiatives

Benefits

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
Company paid holidays
Personal Days
Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architecturedata modelingETLELTdata ingestiondata flowsdata lineagedata transformationdata visualizationcloud-native platforms

Soft Skills

communicationstakeholder managementorganizational skillstime-managementleadership