National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Sr. Delivery Consultant - Data Architect, ProServe SDT North...

Amazon
London
3 days ago
Create job alert

Sr. Delivery Consultant - Data Architect, ProServe SDT North

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS).

In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS.

As a trusted advisor to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

Key job responsibilities

  1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
  2. Providing technical guidance and troubleshooting support throughout project delivery
  3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
  4. Acting as a trusted advisor to customers on industry trends and emerging technologies
  5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

    BASIC QUALIFICATIONS

  • 5+ years' experience architecting and implementing data platforms (Data Lake, Data Lakehouse, Data Mesh, Data Warehouse) at enterprise scale

  • Experience building end-to-end data solutions, including data ingestion (batch/streaming), storage, orchestration, governance, security, analytics, and observability.

  • Highly technical and analytical mindset with ability to think strategically about business, product, and technical challenges in an enterprise environment

  • Extensive hands-on experience with data platform technologies, including at least three of: Spark, Hadoop ecosystem, orchestration frameworks, MPP databases, NoSQL, streaming technologies, data catalogs, BI and visualization tools

  • Proficiency in at least one programming language (e.g., Python, Java, Scala), infrastructure as code, cloud platforms, and SQL.

    PREFERRED QUALIFICATIONS

  • Experience in a lead 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 and ability to lead effectively across organizations.

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

  • Customer facing skills to represent AWS well within the customer’s environment and drive discussions with senior leaders regarding trade-offs, best practices, project management and risk mitigation.

    Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.

    Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

    #J-18808-Ljbffr

Related Jobs

View all jobs

Sr. Delivery Consultant - Data Architect, ProServe SDT North

Sr. Delivery Consultant - Data Scientist, AWS Professional Services Israel

Sr. Delivery Consultant - Data Scientist, AWS Professional Services Israel (Apply Now)...

Sr Business Development Manager, Advertising Measurement and Data Science (MADS), Amazon Advertising

Sr. Director of Quantitative Research (Basé à London)

Sr. Director of Quantitative Research (Basé à London)

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.

Data Science Jobs Salary Calculator 2025: Find Out What You Should Earn in the UK

Why last year’s pay survey is already out of date for UK data scientists “Am I being paid enough?” Every data professional eventually asks that question—often after a teammate reveals a hefty counter‑offer, a recruiter shares a six‑figure opening, or a headline trumpets the latest multimillion‑pound AI investment. Yet salary guides published even twelve months ago belong in a museum. Generative‑AI hype re‑priced Machine‑Learning Engineer roles, LLM fine‑tuning turned Prompt Engineering into a genuine career path, & fresh regulation forced companies to hire Responsible‑AI Officers on senior‑scientist money. To cut through the noise, DataScience‑Jobs.co.uk distilled a transparent, three‑factor formula. Insert your role, your region, & your seniority, and you’ll get a realistic 2025 salary benchmark—no stale averages, no vague ranges. This article walks you through the formula, examines the forces pushing data‑science pay ever higher, and offers five concrete actions to boost your market value within ninety days.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.