{"id":3992415,"url":"https://alion.io/job/nvidia-principal-data-and-platform-engineer-dgx-cloud","title":"Principal Data and Platform Engineer, DGX Cloud","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":797,"ghost_share":0.025,"stale_share":0.55,"repost_share":0.055,"time_to_fill_p50_days":41,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Least Privilege","optional":false},{"name":"Platform Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-09T23:50:51Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T23:50:51Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"NVIDIA's DGX Cloud organization is looking for a lead expert in data and platform engineering to guide the building, creation, and management of the DGXC Data Platform. Our group links data across cloud service providers, NVIDIA Cloud Partners, and internal systems. We develop common data functions that assist DGXC teams in publishing, discovering, joining, and using reliable data within operational workflows. \nWe are seeking a Principal Data & Platform Engineer who can transform complex operational needs into reliable platform services and shared datasets. You will shape the technical approach across ingestion and orchestration, data agreements, quality monitoring, cataloging, and managed access. You will lead delivery and adoption among teams, set production standards, and address technical issues that cross organizational lines. \nYour work will reduce repeated integration effort, improve confidence in operational data, and make the platform easier to adopt and operate. Our primary implementation environment is Python, SQL, Databricks, and Spark.\nWhat you'll be doing:\nDefine the architecture and multiyear technical roadmap, setting system boundaries, shared interfaces, and engineering standards across ingestion, processing, storage, and data serving. Balance immediate operational needs with long term reliability, maintainability, and cost.\nLead delivery across platform engineers, data producers, and consumers. Translate ambiguous requirements into actionable designs and milestones, resolve dependencies, and guide implementation through production adoption.\nBuild and operate reusable batch and streaming ingestion capabilities for service provider and internal data. Establish supported patterns for APIs, change data capture, streams, database connectors, and files, including orchestration, retries, backfills, and recovery.\nEstablish shared identifiers, data contracts, consistent modeling, and automated quality and certification capabilities. Partner with source owners to define dataset meaning, keys, supported joins, historical coverage, compatibility, and ownership. Make quality failures actionable and dataset limitations visible to consumers.\nGuide cataloging, lineage, and governed access capabilities that help people and AI agents discover datasets, understand their definitions and relationships, and follow approved access procedures.\nMake onboarding and operations repeatable through shared libraries, reference implementations, deployment automation, and self service workflows that teams can adopt in their repositories. Measure improvements in onboarding effort, dataset reuse, and manual toil.\nOwn production readiness and reliability standards, including SLOs, testing, observability, runbooks, rollback, and recovery. Lead critical investigations across pipelines, applications, SQL engines, Spark, storage, networks, and cloud services. Partner with security and infrastructure teams on service identities, least privilege, secrets management, environment isolation, auditability, and upgrades and migrations that preserve data access and production service.\nMentor senior engineers and technical leads, lead design reviews, and resolve technical disagreements through evidence and clear tradeoffs. Partner with leadership on priorities, progress, operational risks, and investment decisions.\nWhat we need to see:\nBachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.\nMore than 16 years of progressively responsible experience developing and operating production software, data platforms, databases, or distributed systems.\nA sustained record of defining technical strategy and architecture for shared platforms spanning multiple teams, with accountability for delivery, adoption, and production outcomes. Demonstrated judgment balancing reliability, performance, security, cost, and maintainability through testing and evaluation of alternatives.\nExtensive hands on experience with distributed data processing, analytical databases, production ETL, streaming systems, or backend platforms handling substantial data volumes. Strong understanding of dependencies and failure modes across compute, storage, networking, and cloud services.\nStrong software engineering fundamentals and production proficiency in Python or another backend or systems language, with the ability and willingness to work primarily in Python and SQL. Experience designing reusable frameworks and personally implementing and debugging critical code paths.\nDeep SQL and data modeling expertise, including query execution, incremental processing, schema evolution, and consistency. Experience connecting independently managed systems through shared identifiers, documented relationships, and reliable data contracts, with clear ownership and compatibility standards. Ability to reason about idempotency, replay, late arriving data, partial failure, and correctness across system boundaries.\nExperience establishing production practices adopted by multiple teams, including CI/CD, data validation, observability, incident response, secure deployment, and recovery. Demonstrated ability to lead complex production investigations and major migrations, using logs, metrics, traces, query plans, profiles, and controlled experiments to identify root causes and prevent recurrence.\nDemonstrated success influencing technical direction across organizational boundaries, aligning engineering and business leaders around shared goals, and developing engineers for broader technical responsibilities.\nWays to stand out from the crowd:\nExtensive experience developing and managing Databricks, Apache Spark, PySpark, Spark SQL, Delta Lake, or Unity Catalog platforms, including common features applied across engineering teams.\nExperience delivering self-service data publishing, cataloging, lineage, data contracts, or certification systems with demonstrated adoption.\nExperience combining operational data from various cloud providers and internal systems, including entity resolution, inventory reconciliation, lifecycle history, and coverage measurement.\nExperience designing and operating Kafka or comparable streaming systems, including partitioning, consumer behavior, offset management, backpressure, replay, and schema compatibility.\nExperience enabling AI agents to discover and use governed data, or building production agentic systems with tool integration, evaluation, permissions, observability, and failure recovery.\nWidely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until November 13, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.","description_format":"text","description_chars":7412,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-11-09T23:50:51Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 2,856 · green card filings: 799","filings_12m":2856,"filings_prev_12m":1684,"green_card_filings_12m":799,"median_offered_wage_usd":186407,"route":null,"cap_exempt":false,"checked_at":"2026-11-09T07:32:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":24}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":41,"reasons":["conf:2","win:early","comp:brand"],"computed_at":"2026-11-10T02:29:06Z"},"pay":null,"html_url":"https://alion.io/job/nvidia-principal-data-and-platform-engineer-dgx-cloud","json_url":"https://alion.io/job/nvidia-principal-data-and-platform-engineer-dgx-cloud.json","meta":{"generated_at":"2026-11-10T02:29:06Z","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":5806,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":6},"rest":"https://alion.io/mcp/rest/get_company?id=6"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnvidia-principal-data-and-platform-engineer-dgx-cloud"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fnvidia-principal-data-and-platform-engineer-dgx-cloud"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fnvidia-principal-data-and-platform-engineer-dgx-cloud"},{"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/nvidia-principal-data-and-platform-engineer-dgx-cloud\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-principal-data-and-platform-engineer-dgx-cloud"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3992415}},{"tool":"search_jobs","arguments":{"company":"nvidia.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3992415},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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