At a Glance
- Tasks: Design and implement data solutions using AWS services for real-time analytics and machine learning.
- Company: Join AWS, a leader in cloud computing and innovative technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with potential for travel and collaboration across global teams.
- Why this job: Make a real impact by helping customers harness the power of data.
- Qualifications: 7+ years in data systems development, strong communication skills, and AWS expertise.
The predicted salary is between 72000 - 88000 £ per year.
Are you a data and analytics specialist?
Do you have deep expertise in AWS services for managing data at speed and scale?
Do you think big about how data can change the world, and love building software?
Would you like a career that gives you opportunities to help customers and partners use cloud computing services to build new solutions, faster, and at lower cost?
At AWS, we’re hiring highly technical cloud computing architects and engineers to collaborate with our customers on building solutions in database, data management, and analytics.
AWS Data Labs are global and online based facility where customers come to build data and analytics platforms.
You will focus on real time and batch-based data processing, business intelligence, analytics, and machine learning systems.
These solutions are built alongside the customer and quickly put into production use in a matter of weeks.
You'll work closely with AWS Field Teams including Solution Architects, Technical Account Managers, and AWS Service Developers to partner with customers to solve hard problems with data.
Every day, you'll be working with AWS Services and Data Labs Customers to determine the optimal implementation, build it, prove it works, extract documents and Cloud Formation templates to speed project delivery.
If you are builder, and love data, then this could be your ideal job!Up to 25% travel may be required Basic qualifications Highly technical and analytical, possessing seven or more years of Database and/or Analytics Systems development and deployment experience, IT systems and engineering experience, security and compliance experience, etc.
Possess significant experience of software development and/or IT and implementation/consulting experience.
Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations and virtual teams.
Ability to think understand complex business requirements and render them as prototype systems with quick turnaround time.
Implementation and tuning experience in the Big Data Ecosystem, (such as EMR, Hadoop, Spark, R, Presto, Hive), Database (such as Oracle, My SQL, Postgre SQL, MS SQL Server), No SQL (such as Dynamo DB, HBase, Mongo DB, Cassandra, design principles) and Data Warehousing (such as Redshift, Teradata, Vertica, schema design, query tuning and optimization) and data migration and integration.
Track record of implementing AWS services in a variety of business environments such as large enterprises and start-ups.
Knowledge of foundation infrastructure requirements such as Networking, Storage, and Hardware Optimization.
Technical degree required; Computer Science or Mathematics background preferred. [DB1]Preferred qualification AWS Certification, eg.
AWS Solutions Architect, Developer, or AWS Certified Big Data - Specialty Hands on experience leading large-scale global database, data warehousing and analytics projects.
Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences and Big Data processing.
Deep understanding of data, application, server, and network security Experience with Statistics, Machine Learning and Predictive Modelling.
Hands on experience as a database, data warehouse, big data/analytics developer or administrator, or work as a data scientist.
Experience working within the software development or Internet industries is highly desired.
Technical degrees in computer science, software engineering, or mathematics Working knowledge of modern software development practices and technologies such as agile methodologies and Dev Ops.
Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
Senior Data Lab Solutions Architect in London employer: AmazonWebServices
At Amazon Web Services (AWS), we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Senior Delivery Consultant (DevOps) in the UK, you'll have the opportunity to work closely with diverse clients, driving their cloud success while benefiting from extensive mentorship and professional growth opportunities. Our commitment to inclusion and employee empowerment ensures that every team member can thrive and contribute meaningfully to our mission of delivering cutting-edge cloud solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Lab Solutions Architect in London
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We think you need these skills to ace Senior Data Lab Solutions Architect in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at AmazonWebServices, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at AmazonWebServices. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at AmazonWebServices
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at AmazonWebServices!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
