🛠 Tech Stack

💼 About This Role

You'll build and operate a trusted, scalable data platform for a unified data plane within Infrastructure Shared Services. Your core impact is empowering teams to make faster data-driven decisions while shaping a culture of ownership and innovation. This role offers the chance to architect a multi-engine environment with an Iceberg-based lakehouse.

🎯 What You'll Do

• Design and build core data platform services for ingestion, modeling, querying, and publishing.
• Architect a multi-engine environment with an Iceberg-based lakehouse.
• Drive platform evolution through experimentation and standardization.
• Manage core lakehouse components including table layout and catalog integration.
• Implement robust batch and streaming ingestion patterns with observable failure modes.

📋 Requirements

• 6+ years of experience in data pipeline automation and API-based data extraction.
• Technical expertise in developing complex automation frameworks using SQL, Python, DBT, Apache Airflow.
• Full-stack proficiency across the data stack with deep knowledge of Python, SQL, and ETL methodologies.
• Hands-on familiarity with the big data ecosystem including Trino, Kafka, and Iceberg.

✨ Nice to Have

• Experience with Starburst, Dremio, ClickHouse, or Postgres/pgLake.
• Growth mindset with proactive problem-solving.
• Strong collaborative communication skills across technical stakeholder groups.

🎁 Benefits & Perks

• 🏖️ Flexible Time Off
• 🏥 Wellness Resources
• 🎉 Company-Sponsored Team Events
• 🏆 Fortune's Best Workplaces in Technology
• ♿ Accommodations for Disabilities

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min

🚩 Heads Up

• In-office requirement without remote flexibility for a senior engineering role.