Lead Data Engineer
LumosFull Time
Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
Yes, this is a remote position as Vantage is a remote-first team spread across North America and beyond, headquartered in Toronto.
Candidates need 5+ years of experience in data engineering, big data, and/or distributed systems for SaaS products, proficiency with Python, Django, and SQL, hands-on experience with Snowflake for ETL/ELT pipelines and data warehousing, Great Expectations for data quality, data modeling, and privacy-compliant processing like GDPR and CCPA.
The Measurement team focuses on enhancing the Insights Explorer feature of the platform, enabling partners to transform retail media data into actionable insights.
The role involves leading architectural conversations, coaching and developing the Measurement team, collaborating with engineering and product teams, and communicating with stakeholders for alignment and transparency.
This information is not specified in the job description.
Cloud cost management and optimization platform
Vantage.sh is a platform designed to help businesses manage and optimize their cloud costs. It provides tools for creating detailed reports on cloud expenditure, allowing users to filter and group costs by various dimensions, set monthly budgets, and receive alerts when spending exceeds those budgets. The platform supports multiple cloud providers and offers in-depth resource-level analytics, enabling users to track costs across different subscriptions and projects. A standout feature is its Kubernetes cost optimization, which helps users allocate costs by service and identify areas for efficiency. Vantage.sh operates on a self-serve model, making it easy for businesses to start using the service and save on costs, charging a low fee of 5% of the savings generated. The goal of Vantage.sh is to provide businesses with a clear understanding of their cloud spending and help them find opportunities for cost reduction.