Lead Data Engineer

Role Overview

We're looking for a Lead Data Engineer to architect and build modern, cloud-native data platforms on Google Cloud. You'll lead the design of unified batch and streaming pipelines, drive data quality and governance practices, and set the technical direction for open, interoperable data architectures.

What You Will Do

Architect and optimize large-scale data platforms on Google Cloud, with BigQuery as the analytical backbone. Design and build unified batch and streaming pipelines that handle high-volume, mission-critical workloads.

Why It Might Be a Fit

Must-Have Skills: 7+ years in data engineering, with at least 2 years in a lead or senior individual contributor capacity on Google Cloud-based platforms. Must be able to mentor engineers, review designs, and raise the bar on engineering standards.

Requirements

• 7+ years in data engineering
• 2 years in a lead or senior individual contributor capacity on Google Cloud-based platforms
• BigQuery (Advanced)
• Streaming & Batch Pipelines
• Infrastructure as Code
• Open Table Formats
• Data Governance

Benefits

• Comprehensive Health Insurance
• Paid Leave (Vacation/PTO)
• Paid Holidays
• Sick Leave
• Parental Leave
• Bereavement Leave
• 401 (k) Employer Match
• Employee Referral Bonuses