Data Platform Engineer

Position: Data Platform Engineer

Location: Sunnyvale, CA (Onsite)

Job Description:

Overview
We are seeking a highly skilled Data Platform Engineer with strong expertise in building and scaling Machine Learning (ML) and Data Analytics platforms. The ideal candidate will also bring solid experience in Java backend engineering, enabling seamless integration of data systems with enterprise applications.
Key Responsibilities

• Data Platform Development: Design, build, and maintain scalable data platforms to support analytics and ML workloads.
• Machine Learning Infrastructure: Develop and optimize ML pipelines, model deployment frameworks, and monitoring systems.
• Data Analytics Solutions: Implement data ingestion, transformation, and visualization pipelines to enable business insights.
• Backend Engineering: Build robust APIs and services in Java to integrate data platforms with enterprise applications.
• Cloud & DevOps: Deploy and manage solutions on cloud platforms (AWS, Azure, Google Cloud Platform) with CI/CD automation.
• Collaboration: Work closely with data scientists, analysts, and product teams to deliver end-to-end solutions.

Required Skills

• Strong expertise in Java backend development (Spring Boot, REST APIs, microservices).
• Hands-on experience with data platforms (Spark, Hadoop, Kafka, Flink, or similar).
• Proficiency in ML platforms (TensorFlow Serving, MLflow, Kubeflow, or similar).
• Solid understanding of data analytics tools (Snowflake, BigQuery, Redshift, or equivalent).
• Experience with cloud services (AWS/Google Cloud Platform/Azure) and containerization (Docker, Kubernetes).
• Knowledge of SQL/NoSQL databases and data modeling.
• Strong problem-solving and communication skills.

Preferred Qualifications

• Experience in real-time data processing and streaming architectures.
• Familiarity with data governance, security, and compliance frameworks.
• Exposure to MLOps practices and automated model lifecycle management.