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We seek a highly skilled and experienced Solution Architect with a deep understanding of Data and operations to join our team. In this role, you will be responsible for designing and implementing data-centric solutions that enable our customers to achieve their business objectives, with a strong focus on building efficient and reliable ETL pipelines. You will work closely with clients to understand their needs, translate them into technical requirements, and architect scalable, reliable, and secure data pipelines.
Key Responsibilities:
Collaborate with clients to gather requirements and understand their data
challenges.
Design and implement end-to-end DataOps solutions, including data
ingestion, processing, storage, and analysis.
Leverage cloud technologies and best practices to architect scalable and
cost-effective data architectures.
Ensure data quality, integrity, and security throughout the data lifecycle.
Automate data pipelines and workflows to improve efficiency and reduce
manual effort.
Stay up-to-date with the latest DataOps trends and technologies.
Provide technical guidance and mentorship to other team members.

Are you a person who likes to work in a fast paced organization? For two decades, our company has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass personal computer games, movie production, product design, medical diagnosis and scientific research. Today, visual computing is becoming increasingly central to how people harmonize with technology, and there has never been a more exciting time to join our excellent team. we are now passionate about innovation at the intersection of visual processing, high performance computing, and artificial intelligence.
Our data centers, and the thousands of servers installed in them, are the foundation upon which our creative products and services are delivered. Our customer base consists of hundreds of deeply intelligent engineers who continually provide us with complex problems to be solved. We are looking for a highly motivated Data Center Engineer to join our team. Having depth and breadth knowledge of working in data center facilities in a large-scale distributed environment is a strength you'll need. You should have deep knowledge and experience in at least one of the following core areas: Project Management, Hardware Operations, Network Operations or Data Center Operations.
What you'll be doing:
Act as technical liaison for our technical teams.
Project manage highly impactful large and small scale data center and lab projects.
Participate in the installation, monitoring, maintenance, support, and optimization of all production server hardware.
Contribute to the development of the global DC knowledge base
Lead teams to deploy new data center infrastructure, deliver server upgrades, integration, rebuild and other projects as required
Build plans to optimize power, cooling and network resources
Inventing the forecast to efficiently match supply to demand. Predict data center growth and scaling issues before they occur and implement solutions. You will acquire new facilities and optimize existing ones to support the business growth.
You will hunt for and resolve issues as well as analyze data looking for trends and systemic issues. Implement process improvements and develop a cutting edge operational environment.

We are looking for an expert Data Engineer to build and evolve the data backbone for our R&D telemetry and performance analytics ecosystem. Responsibilities include processing raw, large quantities of data from live systems at the cluster level: hardware, communication units, software, and efficiency indicators. Youll be part of a fast paced R&D organization, where system behavior, schemas, and requirements evolve constantly. Your mission is to develop flexible, reliable, and scalable data handling pipelines that can adapt to rapid change and deliver clean, trusted data for engineers and researchers.
What youll be doing:
Build flexible data ingestion and transformation frameworks that can easily handle evolving schemas and changing data contracts
Develop and maintain ETL/ELT workflows for refining, enriching, and classifying raw data into analytics-ready form
Collaborate with R&D, hardware, DevOps, ML engineers, data scientists and performance analysts to ensure accurate data collection from embedded systems, firmware, and performance tools
Automate schema detection, versioning, and validation to ensure smooth evolution of data structures over time
Maintain data quality and reliability standards, including tagging, metadata management, and lineage tracking
Enable self-service analytics by providing curated datasets, APIs, and Databricks notebooks.