As a Senior Big Data Architect, you will help an collaborate with several tasks such as driving and executing architecting, (re)designing and building business critical Big Data solutions with our customers. You will take advantage of the global scale, elasticity, automation and high-availability features of the AWS platform and build customer solutions. You will work across a range of areas including web and mobile applications, enterprise applications, HPC, IoT, Big Data and Artificial Intelligence / Machine Learning and engage with technical, IT and leadership teams of our customers.
You will collaborate across the whole AWS organization, with other consultants, customer teams and partners on proof-of-concepts, workshops and complex implementation projects. You will innovate and experiment to help customers achieve their business outcomes and deliver production-ready solutions at global scale. You will help drive projects independently but also work as a member of a larger team. Your role will be key to earning customer trust.
This role is a customer-facing role requiring the ability to travel for projects within the FR EMEA South Area. The preferred location for this role is Lyon.
Do you look around corners for ways to engage and service customers? Are you passionate about using technology to solve business problems that have big customer impact?
Come build the future with us.
A day in the life
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. 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 the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. 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. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
We are open to hiring candidates to work out of one of the following locations:
Lyon, FRA | Paris, FRA
BASIC QUALIFICATIONS
• Several years of experience with architecting and implementation of large-scale Data Analytics platforms, including building ETL processes, data pipelines, data governance, master data management and integrations.
• Experience with Apache Hadoop and the Hadoop ecosystem (or equivalent alternative), including massively-parallel-processing (MPP) models, real-time processing and analytics, data ingestion (batched and streamed) and data storage solutions. Familiarity with technologies such as Hive, Impala, Spark SQL, Presto etc.
• Understanding of database and analytical technologies in the industry including MPP and NoSQL databases, Data Warehouse design, ETL, BI reporting and Dashboard development.
• Experience with OLAP databases such as Amazon Redshift, Teradata, Netezza, Vertica.
• Excellent French and English communication skills
PREFERRED QUALIFICATIONS
• AWS Certification in Solutions Architecture or Specialty (Database, Data Analytics, Machine Learning).
• Big Data Architect experience with AWS or other modern data analytics stacks/services such as EC2, ELB, RDS, Route53 & S3, Redshift, Kinesis, Glue or similar services of other public providers in a variety of distributed computing enterprise environments.
• Knowledge of BI / data visualization tools (such as Tableau, Spotfire, MicroStrategy, Cognos).
• Experience with tools such as Flume, Kafka, Nifi, Logstash.
• Hands-on experience developing software in one or more programming languages, such as: Java, JavaScript, Python, R, C++, etc.
Amazon est un employeur engagé pour l’égalité des chances. Nous sommes convaincus qu’une main d’oeuvre diversifée est essentielle à notre réussite. Nous prenons nos décisions de recrutement en fonction de votre expérience et de vos compétences. Nous apprécions votre envie de découvrir, d’inventer, de simplifier et de construire. La protection de votre vie privée et la sécurité de vos données constituent depuis longtemps une priorité absolue pour Amazon. Veuillez consulter notre Politique de Confidentialité pour en savoir plus sur la façon dont nous collectons, utilisons et traitons les données personnelles de nos candidats.
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