Staff Data Engineer

About the role

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, implement and manage automated data pipelines from various data sources including databases, API endpoints, business systems, and data lakes.
• Lead collaboration across departments to develop bronze, silver, and gold data models, enforcing business alignment and data governance.
• Partner with Finance, Sales, Marketing, Product, and HR stakeholders to define data pipeline sources, data modeling requirements, and data quality standards.
• Partner with the Head of Data to build and drive the data engineering roadmap — translating business priorities, technical debt, and platform gaps into a sequenced, milestone-driven plan that aligns with business objectives.
• Own the entire project lifecycle, moving initiatives from initial design through to production leveraging development standards such as Github PR reviews and Jira sprint board management.
• Create and deploy strategies to maintain data security, integrity, and regulatory compliance.
• Provide leadership and guidance to grow and mentor future members of the data engineering team.

What You Bring

• Bachelor's or Master's degree in Computer Science or a related technical field.
• Minimum of 10 years of professional data engineering experience.
• Advanced skill in Python and SQL.
• Expertise with cloud warehouses such as BigQuery, Snowflake, or Databricks leveraging DBT as a data modeling framework.
• Expertise in managing data lakes with open source file formats such as Apache Iceberg, Delta Lake or Apache Hudi.
• Proven track record in constructing automated pipelines using Airflow, Dagster, Fivetran from various operational databases, API endpoints, business systems, and data lakes.
• Expert-level proficiency in SQL and Python is required.
• Experience building / managing data observability and data quality platforms such as BigEye, Monte Carlo and Great Expectations is a plus.
• Familiarity or experience building vector databases for Generative AI use cases is a plus.
• Experience building Gen AI agents to optimize development workflows within data engineering is a plus.
• Experience building Gen AI agents for providing support for business intelligence related inquiries is a plus.
• Must be willing and able to work onsite five days per week.

Employee Benefits

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
• Nationwide medical, vision and dental coverage
• Health Savings Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
• Expanded mental health support
• Paid parental leave policy & fertility benefits
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
• Professional development stipend
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits

Additional Information

• We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa.
• Above is the annual on-target earnings (OTE) range for full-time employees for this position, comprised of base compensation and commissions (if applicable).
• Verkada Is An Equal Opportunity Employer