Senior Data Infrastructure Engineer (Data Infrastructure)

• We are seeking a Senior Data Infrastructure Engineer to design, build, and own the data platform underneath our business-critical pipelines
• Today the team supports account provisioning, product analytics, and the pipelines feeding our warehouse and Tableau reporting. You will help expand this into a globally deployed data platform spanning the warehouse, orchestration, and BI across multiple regions
• Design, build, and maintain business-critical data pipelines, including data ingestion and AWS Glue/Spark jobs feeding the warehouse and Tableau
• Build and operate core data infrastructure: the data warehouse, orchestration, and BI/reporting platform, deployed across multiple regions
• Help evaluate and shape our warehouse strategy, including lakehouse platforms such as Databricks
• Define and evolve event-driven contracts between producer and consumer teams, reasoning through batch vs. streaming, CDC, reprocessing, and multi-tenant/multi-region trade-offs
• Design and evolve warehouse schemas and data models
• Build observability into pipelines and platform components
• Drive work across producer and consumer teams, communicate clearly, and own outcomes end to end

Benefits

• Growth Opportunities: Be part of a dynamic and growing team with numerous career advancement opportunities
• Innovation-Driven Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking
• Inclusive and Diverse Team: We value diversity and promote an inclusive culture where everyone can thrive
• Flexible Work Environment: Enjoy the convenience and work-life balance that comes with remote work- Experience owning production data infrastructure end to end
• Strong collaboration and ownership across dependent teams
• 7+ years of professional experience in data engineering, infrastructure engineering, or backend software engineering
• Strong software engineering craft: clean, correct, maintainable code with solid data-structure and problem-solving fundamentals
• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience
• Fluent SQL and strong data-modeling skills, including designing schemas for a warehouse your team owns
• Deep understanding of distributed systems and data architecture: pipeline and platform design, batch vs. streaming, CDC, event contracts, multi-tenant and multi-region trade-offs, reprocessing, and observability
• Cloud data warehouse or lakehouse platforms such as Amazon Redshift or Databricks
• Tableau or a comparable BI platform
• SQL and Python
• AWS data stack, including Glue and Spark
• Workflow orchestration tooling such as Apache Airflow or Dagster