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Senior Delivery Consultant - AI & Data, Professional Services

Amazon
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Courbevoie, FrancePosted 1w ago

About the role

The AWS Professional Services team seeks a Delivery Consultant to design, implement, and manage AWS solutions for customers. You will act as a trusted advisor, lead implementation, ensure best practices, and help optimize customer cloud journeys with a focus on AI/data solutions.

Responsibilities

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

Qualifications

  • 5+ years of experience designing and implementing data lakes, data warehouses, or lakehouse solutions, including hands-on experience with open table formats (e.g., Apache Iceberg, Delta Lake, Apache Hudi)
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience
  • Proficiency in SQL and at least two programming languages (e.g., Python, Java, Scala), with experience building ETL/ELT pipelines and managing large-scale data
  • Hands-on experience with distributed data processing frameworks such as Apache Spark (including Spark SQL), Hive, or similar technologies
  • Experience with MPP data warehouse technologies (e.g., Amazon Redshift, Teradata, Snowflake) and data modeling
  • Experience with streaming and messaging platforms such as Apache Kafka, Amazon Kinesis, or Amazon MSK
  • Hands-on experience building generative AI solutions, including LLMs, Retrieval-Augmented Generation (RAG), and vector databases, with experience taking solutions to production
  • Experience with infrastructure-as-code and workflow automation tools (e.g., Terraform, AWS CDK, CloudFormation, Airflow, CI/CD pipelines)
  • Experience in a customer-facing role, with excellent written and verbal communication skills and the ability to present technical solutions to both technical and executive audiences

Skills

Required:SQLPython/Java/ScalaETL/ELT pipelinesDistributed data processing (Spark/Hive)LLMs/RAG/vector databasesInfrastructure as codeCustomer-facing communication
Nice to have:AWS data & AI services
Last updated Oct 25, 2026. Interested? Apply on the company site.

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