Lead expert in data and platform engineering for NVIDIA’s DGX Cloud organization
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 248,000 USD – 391,000 USD. You will also be eligible for equity and benefits.
Responsibilities
Define the architecture and multiyear technical roadmap, setting system boundaries, shared interfaces, and engineering standards across ingestion, processing, storage, and data serving.
Lead delivery across platform engineers, data producers, and consumers, translating ambiguous requirements into actionable designs and milestones, resolving dependencies, and guiding implementation through production adoption.
Build and operate reusable batch and streaming ingestion capabilities for service provider and internal data, establishing supported patterns for APIs, change data capture, streams, database connectors, and files, including orchestration, retries, backfills, and recovery.
Establish shared identifiers, data contracts, consistent modeling, and automated quality and certification capabilities, partnering with source owners to define dataset meaning, keys, supported joins, historical coverage, compatibility, and ownership.
Guide cataloging, lineage, and governed access capabilities that help people and AI agents discover datasets, understand their definitions and relationships, and follow approved access procedures.
Design and deliver scalable, governed, AI‑ready enterprise data solutions supporting analytics and digital transformation.
Compensation
CA San Francisco Bay Area Salary Range for this position: $137,000.00 - $287,000.00.
Responsibilities
Define and evolve enterprise data architecture, reference architectures, standards, patterns, and technology roadmaps.
Design conceptual, logical, physical, dimensional, canonical, and semantic data models.
Architect scalable data integration and ingestion patterns using batch, near‑real‑time, streaming, APIs, and event‑driven approaches.
Design modern lakehouse, data warehouse, medallion, semantic‑layer, and data‑product architectures using platforms such as Microsoft Fabric, Databricks, Azure, and related technologies.
Create AI‑ready data foundations ensuring enterprise data is well modeled, contextualized, governed, discoverable, secure, and optimized for downstream consumption.
Requirements
Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Data Science, Engineering, or related discipline. Master’s degree preferred.
Design and deliver scalable, governed, and AI-ready enterprise data solutions supporting analytics, digital transformation, and AI use cases while providing technical leadership across architecture and modeling.
Compensation
CA San Francisco Bay Area Salary Range for this position: $137,000.00 - $287,000.00.
Responsibilities
Define and evolve enterprise data architecture, reference architectures, standards, patterns, and technology roadmaps.
Design conceptual, logical, physical, dimensional, canonical, and semantic data models representing complex business entities, relationships, and processes.
Architect scalable data integration and ingestion patterns using batch, near-real-time, streaming, APIs, and event-driven approaches.
Design modern lakehouse, data warehouse, medallion, semantic-layer, and data-product architectures using platforms such as Microsoft Fabric, Databricks, Azure, and related technologies.
Create AI-ready data foundations by ensuring enterprise data is well modeled, contextualized, governed, discoverable, secure, and optimized for downstream consumption.
The Lead Cloud Engineer provides architectural and hands-on support to critical customer problems in cloud computing and DevOps as well as software development and architecture.
Compensation
$144,800 - $181,000 - $217,200 Annual
Responsibilities
Lead the identification, analysis, and resolution of infrastructure vulnerabilities and application deployment issues
Review existing systems and provide actionable recommendations to sponsors and internal teams for improvement
Collaborate with development teams to evaluate and identify optimal cloud solutions
Lead implementation of cloud-based solutions and DevOps practices across projects
Provide technical guidance and mentorship to team members and contribute to project planning and execution
A Data Architect who combines strong foundations in data management, data engineering, and software engineering to design and implement data systems for critical national importance problems, specifically focusing on enterprise-wide data management for the Intelligence Community.
Compensation
$171,000 - $213,500 - $256,000 Annual
Responsibilities
Development of enterprise data architectures, data management roadmaps, data strategies, and implementable technical plans.
Design and evaluation of data schemas, metadata schemas, data workflows, and data integration patterns.
Alignment of modern data management capabilities to enterprise-wide mission needs.
Development or assessment of data governance models, stewardship approaches, policies, standards, and operating models.
Evaluation of technical and programmatic blueprints supporting enterprise-wide data management adoption.
You are a passionate software engineer with expertise in developing scalable data pipelines, designing robust analytics platforms, and building infrastructure to support machine learning initiatives.
Locations (4)
San Jose, California, United States
New York, United States
Washington, United States
Illinois, United States
Compensation
The applicable full salary ranges for this position, by specific state, are listed below:
New York City Metro Area:
$125,700.00 - $203,100.00
Non-Metro New York state & Washington state:
$111,700.00 - $180,800.00
* For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.
** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.
Design, build, and maintain data platforms and products that support credit decisioning, risk analytics, regulatory reporting, and machine learning initiatives.
Compensation
O'Fallon, Missouri: $92,000 - $147,000 USD
Responsibilities
Design, develop, test, and maintain scalable data pipelines, transformations, and datasets supporting ECR products and initiatives.
Build and optimize ETL/ELT workflows using technologies such as SQL, Python, Databricks, and Spark.
Develop and maintain curated data products that support reporting, analytics, credit decisioning, and other business use cases.
Partner with Product, Risk Analytics, Data Science, and Engineering teams to understand requirements and translate them into effective technical solutions.
Implement data validation, testing, and quality controls to ensure data accuracy, consistency, and reliability.
Requirements
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related STEM discipline
Lead data platform support, designing, building, and improving data platforms for clients
Locations (2)
Atlanta, Georgia, United States
United States
Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current range is $104700 to $179900
Responsibilities
Design and implement data platform components, including ingestion, transformation, storage, and access patterns
Build and maintain data pipelines using cloud-based services and modern data engineering tools
Apply engineering practices for data quality, testing, monitoring, security, and performance
Collaborate with architects, analysts, and client stakeholders to turn requirements into technical designs and deliverables
Troubleshoot platform and pipeline issues and recommend practical improvements
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience
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