IT Data Architect

Sr Data Architect, Data Lake & Analytics

Are you a Data Analytics specialist with Data Warehousing and/or Hadoop/Data Lake experience? Do you like solving complex, high-scale data challenges and helping customers leverage cloud computing to derive business value? This role focuses on data processing capabilities to enable data-driven insights for customers and partners, through proof-of-concept projects, workshops, and implementation engagements in the AWS cloud.

As Senior Consultant you will lead complex projects with autonomy and discretion, often involving multiple Amazon and customer teams.

You will work with customers and partners, leading them through planning, prioritization and delivery of complex transformation initiatives, while collaborating with relevant Sales and Service Teams.

You will design and deliver solutions that solve for new levels of complexity, scale and performance, and in turn, enable breakthrough innovations.

You will create and apply frameworks, methods, best practices and artifacts that deliver prescriptive guidance to customers, and publish and present them in large forums and across various media platforms.

You will guide customers’ technical architecture and investments, maximizing alignment with the AWS platform, and ease of adoption as new services and products become available.

You will help customers define target business outcomes and related work streams, and lead the subsequent projects and initiatives to consistently exceed these goals.

As an Amazonian leader you will demonstrate the Amazon Leadership Principles, coaching and mentoring others on best practices, performance and career development.

AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

Diverse Experiences — AWS values diverse experiences. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from startups to Global 500 companies trust our robust suite of products and services to power their businesses.

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field

• 8+ years of experience of IT platform implementation in a highly technical and analytical role
• 5+ years’ experience of Data Lake/Hadoop platform implementation, including 3+ years of hands-on experience in implementation and performance tuning Hadoop/Spark implementations
• Experience in a Chief Data Architect role or similar

Masters or PhD in Computer Science, Physics, Engineering or Math

Hands on experience leading large-scale global data warehousing and analytics projects

Understanding of database and analytical technologies in the industry including MPP and NoSQL databases, Data Warehouse design, BI reporting and Dashboard development

Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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