Job Title

Were 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 Youll Do Design and build robust data platforms on GCP, AWS, or AzureDevelop 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 reliabilityDefine and evolve semantic layers and data models to support analytics and AICollaborate with software engineers, analysts, and data scientists to enable data access and insightsEstablish platform-level best practices for observability, testing, and CI/CDWhat Were Looking For5+ years of experience in data engineering or data platform rolesStrong experience designing and scaling cloud-native data platforms; ideally in a start up with a modern data stack.Deep proficiency in Python, Java, or ScalaHands-on experience with tools like BigQuery, Snowflake, dbt, Airflow, Kafka, SparkSolid SQL and NoSQL database knowledgeCloud infrastructure expertise (GCP preferred, also AWS or Azure)Experience building data platforms that support cross-team use cases (BI, ML, product analytics)