Verkada
Technology
StaffDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff Data Engineer at Verkada. Skills: Data warehousing, Data pipelines, Data modeling, Cloud data platforms. Architect warehouse infrastructure. Engineer warehouse infrastructure”
Industry & Context.
What They're Looking For.
Must Have
Bachelor's or Master's degree, 10 years of professional data engineering experience, Advanced skill in Python, Advanced skill in SQL, Expertise with cloud warehouses, Expertise in managing data lakes, Proven track record in constructing automated pipelines, Expert-level proficiency in SQL, Expert-level proficiency in Python, Willing to work onsite five days per week
Nice to Have
Experience building data observability platforms, Experience building data quality platforms, Familiarity building vector databases, Experience building Gen AI agents for development workflows, Experience building Gen AI agents for business intelligence inquiries
What You'll Do.
Architect warehouse infrastructure
Engineer warehouse infrastructure
Maintain warehouse infrastructure
Lead data pipeline design
Implement data pipelines
Manage data pipelines
Develop bronze data models
Develop silver data models
Develop gold data models
Enforce business alignment
Enforce data governance
Define data pipeline sources
Define data modeling requirements
Define data quality standards
Build data engineering roadmap
Drive data engineering roadmap
Translate business priorities
Translate technical debt
Translate platform gaps
Own project lifecycle
Move initiatives to production
Drive engineering standards
Raise bar across data engineering team
Create strategies for data security
Deploy strategies for data security
Create strategies for data integrity
Deploy strategies for data integrity
Create strategies for regulatory compliance
Deploy strategies for regulatory compliance
Grow data engineering team
Mentor data engineering team
How You'll Work.
Team & Collaboration
Collaboration across departments; Partner with stakeholders; Partner with Head of Data
Process & Methodology
Github PR reviews, Jira sprint board management
Full Job Description
Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation, more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role As a member of our Data Platforms and Analytics Team and reporting directly to the Head of Data, you will be responsible for developing the core enterprise data warehouse infrastructure, data models, and pipelines at Verkada. We aim to provide a single reporting source of truth for enterprise data with clear business data definitions to empower internal Finance, Sales, Marketing, Product and HR teams to make informed data driven decisions. Our strategy emphasizes automation, scalable architecture, and accuracy, while providing iterative improvements over time. We are committed to a thriving in-office culture. This role requires you to be onsite at our HQ in San Mateo, CA. What You'll Do Architect, engineer and maintain efficient, scalable warehouse infrastructure that facilitates high-quality, accurate insights and reporting. Lead, design, imple
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