{"id":60613,"url":"https://alion.io/job/micron-technology-senior-staff-data-cloud-platform-engineer","title":"Senior /Staff Data & Cloud Platform Engineer","company":{"id":37,"name":"Micron Technology","domain":"micron.com","url":"https://alion.io/company/micron-technology","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":963,"ghost_share":0.001,"stale_share":0.859,"repost_share":0.001,"time_to_fill_p50_days":31,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":34000,"max_usd":62000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"VPN","optional":false}],"status":"live","first_seen_at":"2026-08-17T00:00:00Z","employer_posted_date":"2026-08-17","last_verified_at":"2026-10-17T01:11:29Z","board_verified":true,"closed_at":null,"days_open":62,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":61},"description":"Our vision is to transform how the world uses information to enrich life for all.\nMicron 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.\nResponsibilities\nData Pipeline Engineering: Build scalable ingestion pipelines for structured, semi-structured, and engineering data sources.\n\nWorkflow Orchestration: Develop reliable batch, scheduled, and event-driven workflows using Apache Airflow and cloud-native services.\n\nETL / ELT Frameworks: Implement reusable pipeline patterns, transformations, incremental ingestion, and data quality checks.\n\nSchema Management: Implementschema registry, schema versioning, schema evolution, and compatibility controls.\n\nDelta Detection: Build change detection and incremental refresh mechanisms for efficient large-scale data synchronization.\n\nEntity Extraction: Extract and normalize key identifiers such as Lot, Die, Wafer, Test, Flow, Product, and Step.\n\nCloud Landing Zones: Set up secure AWS, GCP, and on-prem landing targets for validation and analytics pipelines.\n\nInfrastructure Automation: Provision infrastructure using Terraform, CI/CD, and Infrastructure-as-Code practices.\n\nPlatform Operations: Support containerized workloads using Kubernetes, Docker, monitoring, logging, and operational controls.\n\nSecurity & Cost Optimization: Implement IAM, RBAC, hybrid connectivity, access controls, and cost optimization for TB-scale data.\n\nCross-Functional Delivery: Partner with IT, TPG AI, SMAI, Data Science, Product Engineering, and platform teams.\n\nExpertise\nData Pipeline Engineering: Design and operation of scalable ingestion pipelines, ETL/ELT frameworks, metadata-driven processing, and data quality validation.\n\nWorkflow Orchestration: Development and management of batch, event-driven, and scheduled workflows using Apache Airflow.\n\nCloud Data Platforms: Building data solutions using GCP and AWS services for ingestion, processing, storage, and analytics.\n\nSchema & Metadata Management: Implementation of schema registries, schema evolution, version control, metadata capture, and lineage readiness.\n\nIncremental Data Processing: Development of delta detection, CDC-style processing, watermarking, and efficient refresh strategies.\n\nManufacturing Data Modeling: Extraction and normalization of Lot, Die, Wafer, Test, Flow, Product, Step, and validation identifiers.\n\nMulti-Cloud Architecture: Secure and scalable data platforms across AWS, GCP, and on-premises environments.\n\nInfrastructure Automation: Cloud provisioning using Terraform, automation frameworks, reusable modules, and CI/CD practices.\n\nContainer & Platform Engineering: Operation of containerized applications and platform workloads using Kubernetes and Docker.\n\nCloud Security & Governance: IAM, RBAC, data protection, service accounts, secretsmanagement, and enterprise access controls.\n\nHybrid Cloud Connectivity: Networking, VPN, private connectivity, and secure integration between cloud and on-prem environments.\n\nReliability & Cost Management: Monitoring, observability, performance tuning, troubleshooting, and optimization for TB-scale workloads.\n\nQualifications\nEducation: Bachelor's degree in Computer Science, Data Engineering, Cloud Engineering, Information Systems, or related technical field.\n\nExperience: 5+ years in data engineering, cloud engineering, platform engineering, DevOps, or infrastructure engineering.\n\nProgramming: Strong hands-on experience with Python, SQL, automation scripts, and cloud-native data services.\n\nCloud Platforms: Practical experience with GCP services such as Dataflow, Pub/Sub, Cloud Functions, BigQuery, Cloud Storage, IAM, and AWS services such as Glue, Lambda, S3, Redshift, IAM.\n\nInfrastructure & DevOps: Experience with Terraform, Kubernetes, Docker, CI/CD, cloud networking, IAM, and operational automation.\n\nCollaboration: Ability to partner with IT, AI, Data Science, Engineering, and manufacturing stakeholders to deliver reliable platform capabilities.\n\nProven ability to leverage AI-assisted (vibe) coding techniques to improve efficiency or automate design and analysis methodologies\n\nLeverage AI tools to automate the tools and workflow\nApplying Artificial Intelligence in workflows to improve build efficiency\n\nPreferred Domain Exposure\nIndustrial / Engineering Context: Semiconductor, NAND, product engineering, validation, manufacturing, reliability, quality, test, yield, or RCA data environments.\n\nAI / Analytics Platforms: Data foundations for AI/ML, analytics, knowledge platforms, digital thread, traceability, or governed data products.\n\nCertifications: AWS, GCP, Kubernetes, Terraform, or data engineering certifications are preferred but not mandatory.\n\nAbout Micron Technology, Inc.\nWe are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich lifefor 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.\nTo learn more, please visit micron.com/careers\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.\nTo request assistance with the application process and/or for reasonable accommodations,please \nMicron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.\nMicron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.\nAI 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.\nFraud 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.","description_format":"text","description_chars":6735,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Enterprise Storage Systems","Semiconductor Manufacturing","Memory & Storage Chips"],"lifecycle":[{"event":"open","at":"2026-08-17T00:00:00Z"},{"event":"close","at":"2026-08-24T12:56:14Z"},{"event":"reopen","at":"2026-08-29T21:09:56Z"}],"visa":[],"liveness":{"score":17,"band":"cold","label":"Long shot","p_open":1,"p_active":0.483,"p_room":0.36,"age_days":61,"expected_fill_days":31,"reasons":["conf:4","stale_co","urgency","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/micron-technology-senior-staff-data-cloud-platform-engineer","json_url":"https://alion.io/job/micron-technology-senior-staff-data-cloud-platform-engineer.json","meta":{"generated_at":"2026-10-18T00:47:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1403,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":37},"rest":"https://alion.io/mcp/rest/get_company?id=37"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmicron-technology-senior-staff-data-cloud-platform-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmicron-technology-senior-staff-data-cloud-platform-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmicron-technology-senior-staff-data-cloud-platform-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/micron-technology-senior-staff-data-cloud-platform-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmicron-technology-senior-staff-data-cloud-platform-engineer"}]}