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Key Responsibilities:
- Define the target-state architecture for an enterprise data platform across ingestion, storage, processing, governance, and consumption layers.
- Establish technical standards for data modeling, schema evolution, partitioning, file formats, and data lifecycle management.
- Architect modern lakehouse, warehouse, and streaming solutions using technologies such as Snowflake, Databricks, BigQuery, or Redshift.
Requirements:
- Bachelor's or Master's degree in Computer Science or related discipline.
- 8+ years of experience in data engineering with substantial architecture expertise.
- Deep expertise with at least two major data platforms and production-scale experience with Spark, Flink, or Kafka.
What We Offer:
- Competitive salary and 100% remote flexibility within the United States.
- Opportunity to shape enterprise-scale data architecture and influence major technology initiatives.
- Collaborative environment with cross-functional teams and leadership opportunities.
Partner Company
The company is a technology organization focused on building enterprise data platforms. It fosters a culture of innovation and collaboration, with a focus on technical excellence.