Data Infrastructure Architect

📋 Description

• Define and lead architecture of enterprise data platforms (ingestion, storage, processing, governance).
• Establish data architecture standards and patterns for scalable, maintainable solutions.
• Design and evolve data platform architectures (lakehouse, streaming, cloud).
• Partner with engineering, analytics, ML, and business teams to deliver a cohesive data foundation.
• Guide selection, implementation, and optimization of data technologies and platforms.
• Develop and maintain data modeling strategies (dimensional, normalized, data vault).

🎯 Requirements

• Bachelor’s or Master’s in CS, IS, or related technical field.
• 8+ years in data engineering, including architecture-focused roles.
• Deep expertise with Snowflake, Databricks, BigQuery, or Redshift.
• Strong understanding of lakehouse architectures and streaming systems.
• Hands-on Spark, Flink, or Kafka experience.
• Expertise in data modeling: dimensional, normalized, data vault.

🎁 Benefits

• Salary: 175k-200k USD per year.
• Fully remote work opportunity available across the United States.
• Full-time direct employment opportunity.
• Work on enterprise-scale data architecture with impact.
• Career growth opportunities within a technology-focused environment.
• Exposure to modern cloud, AI, analytics, and enterprise data solutions.