We are looking for a Senior Data Platform Engineer to help design and build our Cloud Data Platform at scale.You will work on the core infrastructure that powers realtime data streaming, batch processing, and data lakehouse analytics.This role sits at the intersection of Big Data, Backend Engineering, and DevOps.Responsibilities:Design and maintain scalable, faulttolerant data platform architecturesBuild and operate realtime and batch data processing systems using Apache Spark and Apache FlinkDevelop backend services and APIs using Python or GolangImplement and operate a Data Lakehouse using Iceberg / Delta Lake / HudiDesign data ingestion and orchestration pipelines with Apache AirflowImplement CDC and eventdriven architectures using Debezium and Apache KafkaOwn production systems: containerization, deployment, and operations using Docker and KubernetesEnsure platform reliability through monitoring, logging, and alerting (Prometheus, Grafana, ELK)Requirements:Strong software engineering fundamentals (data structures, algorithms, system design)Proficiency in Java/Scala and Python (Golang is a plus)Handson experience with Kafka, Spark/FlinkStrong SQL skills and experience with PostgreSQLExperience with Data Lakehouse architectures and open table formatsExperience building and operating production systems on KubernetesNice to Have:Experience with cloud platforms (AWS, Databricks, Snowflake)Familiarity with dbt, MLflow, or KubeflowExperience with workflow and ingestion tools like Vector, Benthos, NiFiExperience working with data science or machine learning teams