Sr Engineer, Data

Req. ID:

JR110973 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.

## Nice To Have

• 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.

Job Profile(s):

Data Engineer 3

Relocation level: (TBD)

Before Getting Started

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As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on Benefits | Micron Technology, Inc

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.