Data Architect jobs in United States

Cloud Technical Architect / Data DevOps Engineer

This role has been designed as ‘Onsite’ with an expectation that you will primarily work from an HPE partner/customer office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We value varied backgrounds and support work-life balance. We make bold moves, together, and are a force for good. If you are looking to grow your career, our culture will embrace you. Open up opportunities with HPE.

Job Description:

Are you looking to take your technical career to the next level?

We have a new opportunity for a bright, driven, customer-focused professional to join our Hybrid Cloud ‘Delivery’ team, working alongside our Enterprise Data Engineering consultants to accelerate data engineering opportunities.

The Advisory and Professional Services (A&PS) delivery team within HPE Pointnext Services provides thought leadership, industry know-how, and technical excellence to consultative engagements, helping customers maximize business benefits from their technical investments using HPE and partner technologies.

What is on offer?

This is a fantastic opportunity for a dynamic individual with big ambitions, who is an established technologist with outstanding technical ability and a consultative mindset. You should be an open-minded, personable self-starter who enjoys the collaborative nature of consultancy, comfortable working independently or as part of a team, and adept at context switching.

You will provide clients with optimal consultative service, resulting in business outcomes aligned with core client values and requirements.

Extensive social benefits, flexible working hours, a competitive salary, and shared values make Hewlett Packard Enterprise one of the world's most attractive employers. We promote equal opportunities, work-life balance, and evolving career paths.

If you seek challenges in a fast-paced, international environment, we want to hear from you!

As a Data DevOps Engineer, you will be responsible for:

• Developing and implementing scalable clustered Big Data solutions, focusing on automated dynamic scaling and self-healing systems.
• Participating in the full lifecycle of data solutions, from requirements to continuous optimization.
• Providing technical thought leadership and advisory on data technologies and processes.
• Collaborating with internal and external teams, taking leadership as needed.
• Supporting solution improvements driven by projects or services.

To excel in this role, you will need:

• An organized, methodical approach.
• Excellent time management and task prioritization skills.
• Clear and concise communication skills.
• Ability to convey technical concepts to diverse audiences.
• Data engineering skills such as ETL/ELT.
• Technical implementation skills following industry best practices.
• Experience researching and advising on technological products/services.
• Experience working in hybrid environments with classical and DevOps practices.
• Excellent English skills, both written and spoken.

Technical skills & experience required:

• Linux system administration and implementation.
• Containerization technologies: Docker, OpenShift, Kubernetes.
• Infrastructure as Code and CI/CD tools: Ansible, Terraform, Jenkins, Bamboo, Concourse.
• Monitoring tools: Prometheus, Grafana, ELK, Filebeat.
• Observability and SRE practices.
• Big Data ecosystems: Apache Spark, Hadoop.
• Edge technologies: NGINX, HAProxy.
• Proficiency in YAML or similar languages.

Desirable skills & experience:

• Jupyter Hub.
• MinIO or similar S3 storage solutions.
• Trino / Presto.
• RabbitMQ or other messaging queues.
• Apache NiFi.
• Rego policy language.
• Shell scripting in Python, Bash.

As a Cloud Technical Architect, responsibilities include:

• Designing and developing new capabilities, solution options, and proof of concepts.
• Leveraging Public Cloud platforms using Infrastructure as Code.
• Providing technical challenge and assurance throughout development and delivery.
• Developing reusable solutions and patterns to reduce costs and development time.
• Working independently or within a team using DevOps practices.

To excel as a Cloud Technical Architect, you need:

• An organized, methodical approach.
• Excellent time management.
• Clear communication skills.
• Ability to convey complex concepts effectively.
• Proficiency in English, both written and spoken.

Required skills & experience:

• Experience with AWS cloud-native technologies.
• Deployment of IaaS/PaaS in multi-cloud environments.
• Cloud and infrastructure engineering skills.
• Ability to bridge infrastructure and user-facing systems.

Desirable skills & experience:

• Kubernetes expertise.
• Automation tools: Terraform, Ansible, Foreman, Puppet, Python.
• Linux platform and services experience.

Prerequisites:

• Must hold UK DV security clearance.
• Eligible to work in the UK.
• Role based on client site; no remote work.

Additional Skills: Accountability, Active Learning, Creativity, Critical Thinking, Customer Solutions, IT Infrastructure, Infrastructure as a Service, Long Term Planning, Process Improvements, and more.

What We Offer:

Health & Wellbeing, Personal & Professional Development, Unconditional Inclusion, and opportunities to stay connected with HPE culture and tech.

HPE is an equal opportunity employer and values diversity. We comply with all applicable laws regarding employment and criminal history considerations.