We're hiring on behalf of a fast-growing tech company building a cloud-native data platform that supports large-scale analytics, real-time processing, and machine learning. This is a high-impact role for a Senior Data Engineer to scale the data platform infrastructure from the ground up.

What You'll Do

• Design and build robust data platforms on GCP, AWS, or Azure
• Develop scalable batch and streaming pipelines (Spark, Kafka, dbt, Airflow)
• Architect data lake and warehouse solutions (BigQuery, Snowflake, Delta Lake)
• Implement ETL/ELT workflows with strong data governance and reliability
• Define and evolve semantic layers and data models to support analytics and AI
• Collaborate with software engineers, analysts, and data scientists to enable data access and insights
• Establish platform-level best practices for observability, testing, and CI/CD

What We're Looking For

• 5+ years of experience in data engineering or data platform roles
• Strong experience designing and scaling cloud-native data platforms; ideally in a start up with a modern data stack.
• Deep proficiency in Python, Java, or Scala
• Hands-on experience with tools like BigQuery, Snowflake, dbt, Airflow, Kafka, Spark
• Solid SQL and NoSQL database knowledge
• Cloud infrastructure expertise (GCP preferred, also AWS or Azure)
• Experience building data platforms that support cross-team use cases (BI, ML, product analytics)