Sr Engineer, Data

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Roles & Responsibilities At least 5 years of experience in implementing scalable, reliable data architectures on Google Cloud Platform (GCP). Understand data models, warehouse structures, and data lake strategies using BigQuery, Snowflake, and GCS. Build cloud data warehouse solutions on Snowflake — dimensional models, virtual warehouses, clustering/micro-partition strategy, roles and row-level security — and integrate Snowflake within the broader GCP data ecosystem. Follow best practices for schema design, partitioning, and clustering for performance optimization. Very Strong Experience in Python, SQL, PySpark. Strong hands-on expertise with Snowflake, including advanced SQL, performance and cost tuning, and secure data sharing. Build and maintain end-to-end ETL/ELT pipelines using GCP services such as: BigQuery, WorkFlow, Dataproc, Cloud Run, Cloud Functions, Pub/Sub, Cloud Composer. Develop batch and real-time data processing pipelines. Implement CI/CD pipelines for data workflows using Cloud Build / Terraform. Ensure high performance, reliability, and fault tolerance in pipelines. Design and execute data migration strategies from on-prem / legacy systems to GCP and Snowflake. Integrate multiple data sources (structured, semi-structured, unstructured). Handle large-scale data ingestion using streaming and batch approaches. Implement data validation, monitoring, and quality checks. Ensure adherence to data governance, security, and compliance policies. Build frameworks for data lineage and observability - Cloud Monitoring / Logging and BigQuery audit logs. Optimize BigQuery and Snowflake queries, storage costs, and pipeline performance; tune Spark/PySpark jobs in Dataproc environments. Implement query optimization and cost-efficient designs. Work closely with: Data Scientists, Data Analysts, Product & Business teams. Translate business requirements into scalable technical solutions.

Snowflake exposure or equivalent production experience across multi-cloud data platforms. Basic working knowledge of the AI/ML tech stack (e.g., Vertex AI / ADK, model/data pipelines, embeddings, LLM integration) and how data engineering supports AI workloads. Basic front-end exposure with Angular / React for building or supporting lightweight data applications and dashboards. Exposure to AI/ML data pipelines (Vertex AI / ADK). Experience with streaming frameworks (Kafka, Pub/Sub). Strong understanding of data warehousing concepts. About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life   for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or