Data Architect jobs
Ebay Senior MTS Software Eng. Data Platform United States, Texas, Austin
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Senior MTS Software Engineer, Data Platform
Job Type: Full-time
About the RoleWe are seeking Data Platform Software Engineers, not Data Engineers . While familiarity with Spark, Flink, and other tools in the Hadoop environment is a definite advantage, your focus will be on building the data platform rather than just creating data pipelines.
What you’ll do and learn
Independently lead complex, high-impact initiatives across eBay’s Data Platforms, from conception to successful production rollout. You will collaborate with Product Managers to help define the vision for the data platform at eBay.
Architectural Leadership: Own and evolve the architecture for core data platform systems, ensuring solutions are scalable, secure, maintainable, and in alignment with enterprise standards.
System Design: Eliminate duplication across systems and ensure clear responsibility boundaries; align systems with business needs and future scalability.
Engineering Excellence: Champion clean architecture, promote use of modern frameworks, enforce quality gates, and ensure adherence to design patterns and coding standards.
Lead by Example: Write reference implementations, contribute to core libraries, and conduct in-depth code reviews to influence standards and uplift team capabilities.
Cost Optimization: Propose and drive engineering solutions that reduce operational overhead, improve resource efficiency, and automate manual processes.
Framework Development: Find opportunities to build reusable components, services, and frameworks that accelerate feature delivery across the organization
Modernization: Lead migrations of legacy systems into modern architectures and cloud-native paradigms with minimal disruption and high impact.
Collaboration: Drive complex technical discussions, build consensus across engineering, product, and operational teams, and ensure smooth delivery of cross-functional projects.
Documentation & Governance: Create well-structured Architecture Decision Records (ADRs) and contribute to technical documentation and standards.
Proactively address performance, security, compliance, and future-proofing of solutions while balancing latency, correctness, scale, and cost.
Raise the engineering bar through design/code reviews, operational excellence (SLOs, observability, incident management), and scalable practices that increase velocity across teams.
Mentorship: Act as a technical mentor, guiding senior and junior engineers on architecture best practices and advanced problem-solving.
Introduce AI-first frameworks and reusable components that reduce developer friction and enable faster iteration.
Automate diagnostics, monitoring, and remediation using intelligent assistants and prediction-based alerting.
Excellent in interpersonal communication
What you bring
Extensive experience owning large-scale distributed data platforms (multi-PB data, high-throughput streams, global systems).
Deep systems approach : you anticipate bottlenecks, design for reliability (reprocessing, idempotency, schema evolution), and think holistically across compute, storage, and APIs.
Excellent decision-making and communication skills , thriving in ambiguity while aligning diverse stakeholders on the right path forward.
Security and compliance mindset , including data privacy, RBAC/ABAC, encryption, and auditability — with the ability to partner with compliance teams on regulatory requirements.
Proven leadership in mentoring engineers, shaping team culture, and driving organizational change in engineering practices.
Growth mindset
High-impact mission : You will build and modernize eBay’s Data Platform, which powers analytics, experimentation, machine learning, personalization, and trust and compliance on a global scale.
Challenging technical problems : From real-time streaming at scale, to lakehouse correctness, governance, cost and performance optimization, and multi-cloud resiliency.
Vibrant culture : A collaborative, transparent, and inclusive environment where diverse perspectives are valued, knowledge sharing is encouraged, and every engineer has a voice.
Flexibility & support : Hybrid/remote-friendly practices, competitive compensation, global benefits ( ), and support for learning resources, conferences, and career development.
Always-on responsibility with balance
Qualifications
12+ years of experience in building and operating large-scale distributed systems, with 5+ years as a staff/architect-level technical lead across multiple domains.
Proven success in driving technical strategy and roadmaps , authoring architecture and technical vision documents, and aligning stakeholders across engineering, product, and compliance.
Strong foundation in data structures, algorithms, and distributed systems design .
Proficiency in Java/Python (or equivalent) and in infra-as-code, CI/CD, and containerized environments.
Hands-on deep internal expertise in several of the following: Kafka/Flink, Spark,, Delta/Iceberg, GraphQL/REST APIs, RDBMS/NoSQL, Kubernetes, Airflow.
Experience building both streaming and batch data platforms , improving reliability, quality, and developer velocity.
Demonstrated ability to mentor senior engineers, influence org-wide practices , and make long-term architectural decisions that unlock measurable business outcomes.
BS/MS in CS or equivalent practical experience.
The base pay range for this position is expected in the range below:
$152,400 - $247,800These jobs might be a good fit
Nvidia Senior Financial Analyst - Data Center Networking United States, California
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- US, CA, Santa Clara
- time type
- Full time
- posted on
- Posted 5 Days Ago
- job requisition id
What you’ll be doing:
Critical member of revenue forecasting processes and conduct detailed variance analysis to deliver actionable insights in a fast-paced, high-growth environment.
Build and maintain dynamic financial models to project revenue, costs, and gross margins, supporting strategic planning and performance management.
Analyze complex financial data and trends to provide clear, data-driven recommendations to senior leadership and cross-functional business partners.
Champion continuous improvement initiatives in financial reporting by implementing automation and optimizing reporting processes.
Ensure accurate and timely financial reporting in accordance with the FP&A calendar and quarter-end close requirements, maintaining high standards of data integrity and compliance.
What we need to see:
12+ overall years of financial planning experience, especially with data analytics and data modeling of a business unit, supporting a global, high-tech corporation.
Bachelor’s degree or equivalent experience in Finance, Economics, Business; MBA a plus.
Expert analytical skills and advanced financial modeling techniques in Excel, with ability to build and convey business insight.
Define new processes and analytics as well as influence business decisions.
Ability to improve and streamline manual processes and drive efficiency.
Strong leadership, interpersonal, and communication skills, including effective communication at all levels within the Company.
Ways to stand out from the crowd:
Expert analytical and complex financial modeling skills, critical thinking and problem-solving skills.
Experience collaborating across a large organization to influence change.
Excellent communication and interpersonal skills, with proven ability to build successful relationships and partner with all levels of a company’s organization.
Creative and innovative leader with a positive approach and a focus on business solutions.
Experience with SAP, SFDC, Tableau and BI Tools applications.
You will also be eligible for equity and .
These jobs might be a good fit
Nvidia Senior Solutions Architect GPU - Cloud Service Providers United States, Texas
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- US, CA, Santa Clara
- US, WA, Seattle
- time type
- Full time
- posted on
- Posted Today
- job requisition id
What you’ll be doing:
Working with tech giants to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.
Partnering with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
Serving as the main technical point of contact for customers engaged in the development of intricate AI infrastructure, while also offering support in understanding performance aspects related to tasks like large scale LLM training and inference.
Conducting regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, performance advice, and debugging sessions.
Collaborating with customers to build Proof of Concepts (PoCs) for solutions to address critical business needs and support cloud service integration for NVIDIA technology on hyperscalers.
Analyzing and developing solutions for customer performance issues for both AI and systems performance.
What we need to see:
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
4+ years of engineering(performance/system/solution)experience.
Hands-on experience building performance benchmarks for data center systems, including large scale AI training and inference.
Understanding of systems architecture including AI accelerators and networking as it relates to the performance of an overall application.
Effective engineering program management with the capability of balancing multiple tasks.
Ability to communicate ideas clearly through documents, presentations, and in external customer-facing environments.
Ways to stand out from the crowd:
Hands-on experience with Deep Learning frameworks (PyTorch, JAX, etc.), compilers (Triton, XLA, etc.), and NVIDIA libraries (TRTLLM, TensorRT, Nemo, NCCL, RAPIDS, etc.).
Familiarity with deep learning architectures and the latest LLM developments.
Background with NVIDIA hardware and software, performance tuning, and error diagnostics.
Hands-on experience with GPU systems in general including but not limited to performance testing, performance tuning, and benchmarking.
Experience deploying solutions in cloud environments including AWS, GCP, Azure, or OCI as well as knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc. Command line proficiency.
You will also be eligible for equity and .
These jobs might be a good fit
Nvidia Solutions Architect - Cloud AI United States, Texas
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- US, WA, Redmond
- US, WA, Remote
- US, CA, Santa Clara
- US, WA, Seattle
- time type
- Full time
- posted on
- Posted Yesterday
- job requisition id
What You'll Be Doing:
Working as a key member of our cloud solutions team, you will be the go-to technical expert on NVIDIA's products, helping our clients architect and optimize GPU solutions for AI services.
Collaborating directly with engineering teams to secure design wins, address challenges, usher projects into production, and offer support through the project's lifecycle.
Acting as a trusted advisor to our clients, while developing reference architectures and best practices for running Microsoft AI workloads on NVIDIA infrastructure.
What We Need To See:
4+ years of experience in cloud computing and/or large-scale AI systems.
A BS in EE, CS, Math, or Physics, or equivalent experience.
A proven understanding of cloud computing and large-scale computing systems.
Proficiency in Python, C, or C++ and experience with AI frameworks like Pytorch or TensorFlow.
Passion for machine learning and AI, and the drive to continually learn and apply new technologies.
Excellent interpersonal skills, including the ability to explain complex technical topics to non-experts.
Ways To Stand Out From The Crowd:
Recent projects or contributions (for example, on GitHub) related to large language models and transformer architectures.
Knowledge of Azure cloud and AzureML services.
Experience with CUDA programming and optimization.
Familiarity with NVIDIA networking technologies such as Infiniband.
Proficiency in Linux, Windows Subsystem for Linux, and Windows.
You will also be eligible for equity and .
These jobs might be a good fit
Unity Principal Workday Architect United States, Oregon
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What you'll be doing
- Lead the design of complex Workday integrations with other enterprise systems, ensuring data integrity and seamless information flow.
- Translate complex business requirements into detailed functional and technical design specifications for Workday configurations and integrations.
- Identify opportunities for process improvement and optimization within Workday to enhance efficiency and user experience.
- Troubleshoot complex Workday issues and provide expert-level support.
- Partner closely with Finance, HR, IT, and other business stakeholders to understand their needs and translate them into Workday solutions
- Progressive experience in ERP implementation, configuration, and support.
- Extensive experience as a Workday Architect or Lead Consultant with a strong focus on large-scale enterprise deployments.
- Deep expertise in Workday Financial Management: Extensive hands-on experience with at least 5+ modules (e.g., GL, AP, AR, FA, Expenses, Projects, Grants, Planning, Accounting, Procurement).
- Extensive experience with Workday Human Capital Management (HCM): Strong understanding of Core HCM, Benefits, Payroll, Absence, Talent Management, Compensation, and Recruiting.
- Demonstrated experience in designing, building, and maintaining Adaptive Planning models, reports, and dashboards.
- Demonstrated experience with Workday integrations (EIB, Core Connectors, Cloud Connect for Third-Party Payroll, Workday Studio).
- Experience with Workday reporting and analytics (e.g., Custom Reports, Dashboards, Discovery Boards).
- Experience in Financial accounting - other ERPs (SAP, Oracle, Peoplesoft, Dynamics 365)
- In-depth understanding of Workday's security model and its application across various modules.
- Proactive, self-motivated, and results-oriented.
- Ability to manage multiple priorities and projects simultaneously.
- Workday certifications in Financials, HCM, and/or Adaptive Planning
- Relocation support is not available for this position.
- Work visa/immigration sponsorship is not available for this position
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Gross pay salary$156,000—$234,000 USDThese jobs might be a good fit
Nvidia Senior Solution Architect - IGX Jetson United States, California
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- US, CA, Santa Clara
- time type
- Full time
- posted on
- Posted 5 Days Ago
- job requisition id
What you’ll be doing:
Collaborating with business development in guiding the customer through the solution adoption process for our Metropolis, Isaac and IGX AI SW platforms, GPU Computing and IGX/Jetson, being responsible for the technical relationship and assisting customers in building creative solutions based on NVIDIA
Be an industry leader with vision on integrating NVIDIA technology into intelligent machines’ architectures
You will engage with customers to develop a keen understanding of their goals, vision and plans, as well as technical needs – and help to define and deliver high-value solutions that meet these needs
Train customers on the adoption of our AI platforms, develop and optimize proof of concepts using the Nvidia robotics and Metropolis platforms as well as the Jetson/IGX SDKs
Establish positive relationships and communication channels with internal teams
What we need to see:
BS or MS in Electrical Engineering or Computer Science or equivalent experience
8+ years of work-related experience in a high-tech electronics industry in a similar role as a systems or solution architect
AI practitioner experience
C, C++, and Python coding
Strong time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects
Ways to stand out from the crowd:
NVIDIA GPU development experience
Experience with Omniverse, ISAAC and Metropolis
Experience with generative AI on Jetson or IGX, RIVA, VSS
You will also be eligible for equity and .
These jobs might be a good fit
Nvidia Senior Product Marketing Manager - Data Science United States, California
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- US, CA, Santa Clara
- time type
- Full time
- posted on
- Posted 2 Days Ago
- job requisition id
What you’ll be doing:
Lead positioning, messaging and launches for key data science and processing products
Develop technical content such as blogs, videos, and presentations to help data scientists embrace NVIDIA’s SDKs
Support go-to-market for NVIDIA hardware platforms for data processing as part of cross-functional team
Conduct competitive and ecosystem analysis to develop positioning and focus promotion
Engage with the data science community directly and present key technologies at events
Derive insights from customer adoption trends and share with internal teams
What we need to see:
8+ years’ experience with launching, go-to-market and scaling technical product adoption for data scientists or developers.
Bachelors degree in a scientific or technical field (or equivalent experience).
Knowledge of data science packages and machine learning frameworks.
You love and thrive in a cross-functional organization, by collaborating with peers across teams and functions.
Excellent written and spoken communication skills.
Experience presenting at meetings, conferences, and webinars.
Strong grasp of content marketing and social media methodologies.
Comfortable reviewing Python code used in presentations, demos, and articles.
Ways to stand out from the crowd:
Clearly communicate your understanding of NVIDIA’s strategy and technology.
Measurable impact (metrics, awards, key accomplishments) you can share.
Growing portfolio of blogs and social posts with links to your relevant work, including technical writing, social media presence, videos, and research papers.
You will also be eligible for equity and .
These jobs might be a good fit
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Senior MTS Software Engineer, Data Platform
Job Type: Full-time
About the RoleWe are seeking Data Platform Software Engineers, not Data Engineers . While familiarity with Spark, Flink, and other tools in the Hadoop environment is a definite advantage, your focus will be on building the data platform rather than just creating data pipelines.
What you’ll do and learn
Independently lead complex, high-impact initiatives across eBay’s Data Platforms, from conception to successful production rollout. You will collaborate with Product Managers to help define the vision for the data platform at eBay.
Architectural Leadership: Own and evolve the architecture for core data platform systems, ensuring solutions are scalable, secure, maintainable, and in alignment with enterprise standards.
System Design: Eliminate duplication across systems and ensure clear responsibility boundaries; align systems with business needs and future scalability.
Engineering Excellence: Champion clean architecture, promote use of modern frameworks, enforce quality gates, and ensure adherence to design patterns and coding standards.
Lead by Example: Write reference implementations, contribute to core libraries, and conduct in-depth code reviews to influence standards and uplift team capabilities.
Cost Optimization: Propose and drive engineering solutions that reduce operational overhead, improve resource efficiency, and automate manual processes.
Framework Development: Find opportunities to build reusable components, services, and frameworks that accelerate feature delivery across the organization
Modernization: Lead migrations of legacy systems into modern architectures and cloud-native paradigms with minimal disruption and high impact.
Collaboration: Drive complex technical discussions, build consensus across engineering, product, and operational teams, and ensure smooth delivery of cross-functional projects.
Documentation & Governance: Create well-structured Architecture Decision Records (ADRs) and contribute to technical documentation and standards.
Proactively address performance, security, compliance, and future-proofing of solutions while balancing latency, correctness, scale, and cost.
Raise the engineering bar through design/code reviews, operational excellence (SLOs, observability, incident management), and scalable practices that increase velocity across teams.
Mentorship: Act as a technical mentor, guiding senior and junior engineers on architecture best practices and advanced problem-solving.
Introduce AI-first frameworks and reusable components that reduce developer friction and enable faster iteration.
Automate diagnostics, monitoring, and remediation using intelligent assistants and prediction-based alerting.
Excellent in interpersonal communication
What you bring
Extensive experience owning large-scale distributed data platforms (multi-PB data, high-throughput streams, global systems).
Deep systems approach : you anticipate bottlenecks, design for reliability (reprocessing, idempotency, schema evolution), and think holistically across compute, storage, and APIs.
Excellent decision-making and communication skills , thriving in ambiguity while aligning diverse stakeholders on the right path forward.
Security and compliance mindset , including data privacy, RBAC/ABAC, encryption, and auditability — with the ability to partner with compliance teams on regulatory requirements.
Proven leadership in mentoring engineers, shaping team culture, and driving organizational change in engineering practices.
Growth mindset
High-impact mission : You will build and modernize eBay’s Data Platform, which powers analytics, experimentation, machine learning, personalization, and trust and compliance on a global scale.
Challenging technical problems : From real-time streaming at scale, to lakehouse correctness, governance, cost and performance optimization, and multi-cloud resiliency.
Vibrant culture : A collaborative, transparent, and inclusive environment where diverse perspectives are valued, knowledge sharing is encouraged, and every engineer has a voice.
Flexibility & support : Hybrid/remote-friendly practices, competitive compensation, global benefits ( ), and support for learning resources, conferences, and career development.
Always-on responsibility with balance
Qualifications
12+ years of experience in building and operating large-scale distributed systems, with 5+ years as a staff/architect-level technical lead across multiple domains.
Proven success in driving technical strategy and roadmaps , authoring architecture and technical vision documents, and aligning stakeholders across engineering, product, and compliance.
Strong foundation in data structures, algorithms, and distributed systems design .
Proficiency in Java/Python (or equivalent) and in infra-as-code, CI/CD, and containerized environments.
Hands-on deep internal expertise in several of the following: Kafka/Flink, Spark,, Delta/Iceberg, GraphQL/REST APIs, RDBMS/NoSQL, Kubernetes, Airflow.
Experience building both streaming and batch data platforms , improving reliability, quality, and developer velocity.
Demonstrated ability to mentor senior engineers, influence org-wide practices , and make long-term architectural decisions that unlock measurable business outcomes.
BS/MS in CS or equivalent practical experience.
The base pay range for this position is expected in the range below:
$152,400 - $247,800These jobs might be a good fit
