Data Platform Architect

Job Summary

To support a growing team, the full-time Data Platform Architect will define and lead the architecture of an enterprise data platform, focusing on ingestion, storage, processing, governance, and consumption layers in a 100% remote environment.

Key Responsibilities

• Define the target-state architecture of the enterprise data platform, including ingestion, storage, processing, and consumption layers
• Establish standards for data modeling, schema evolution, and storage organization while designing end-to-end data pipelines
• Lead the integration of governance and catalog tools, and mentor data engineers on platform standards and best practices

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
• Eight or more years of experience in data engineering, with significant time in architecture roles
• Deep expertise across at least two major data platforms such as Snowflake, Databricks, BigQuery, or Redshift
• Hands-on experience with Spark, Flink, or Kafka at production scale
• Strong understanding of lakehouse architectures and modern table formats