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.
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 disability status.
To request assistance with the application process and/or for reasonable accommodations, please contact [email protected]
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
Skills Required
- At least 5 years of experience implementing scalable, reliable data architectures on Google Cloud Platform
- Experience with data models, warehouse structures, and data lake strategies
- Hands-on experience building Snowflake data warehouse solutions, including dimensional modeling, clustering, roles, row-level security, performance tuning, cost tuning, and secure data sharing
- Strong experience with Python, SQL, and PySpark
- Experience building and maintaining ETL/ELT pipelines using GCP services
- Experience developing batch and real-time data processing pipelines
- Experience implementing CI/CD pipelines for data workflows using Cloud Build or Terraform
- Experience designing data migration strategies from on-premises or legacy systems to GCP and Snowflake
- Experience integrating structured, semi-structured, and unstructured data sources
- Experience implementing data validation, monitoring, quality checks, governance, security, and compliance controls
- Experience with data lineage and observability using Cloud Monitoring, Cloud Logging, and BigQuery audit logs
- Experience optimizing BigQuery and Snowflake queries, storage costs, pipeline performance, and Spark/PySpark jobs
- Snowflake exposure or equivalent production experience across multi-cloud data platforms
- Basic knowledge of AI/ML technologies, Vertex AI, model and data pipelines, embeddings, or LLM integration
- Basic Angular or React experience for lightweight data applications and dashboards
- Experience with streaming frameworks such as Kafka or Pub/Sub
- Strong understanding of data warehousing concepts
Micron Technology Compensation & Benefits Highlights
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Retirement Support — A company 401(k) match with multiple savings options and investment choices supports long‑term financial security. This element stands out as a core strength within the overall package.
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Equity Value & Accessibility — An employee stock purchase plan offered at a meaningful discount and management‑granted RSUs provide accessible ownership opportunities that can bolster total compensation. These programs create upside beyond base pay.
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Healthcare Strength — Multiple medical plan choices with dental, vision, and company‑paid disability and life coverage, plus an EAP and some onsite/near‑site health centers, indicate robust core protection. The breadth of health options is consistently emphasized across the offering.
Micron Technology Insights
What We Do
We are a world leader in innovative memory solutions that transform how the world uses information to enrich life for all. For over 45 years, our company has been instrumental to the world’s most significant technology advancements, delivering optimal memory and storage systems for a broad range of applications.
Why Work With Us
Global opportunities, team member development, and career advancement—Micron invests in you and celebrates your skills, a growth mindset, and the tenacity to strive. At Micron, everyone innovates.
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Micron Technology Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Micron recognizes the importance of maintaining a healthy work-life balance to foster a culture of collaboration, innovation and meet the needs of the business. In alignment with these values, we offer four flexible work arrangement options
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