Adesso SE

Cloud Data Architect AWS / Google Cloud (all genders)

AWSGCP
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YOUR ROLE

  1. Advise on Cloud Data & Analytics architectures: As a Senior Advisor, you will provide guidance to our clients on cloud-based Data & Analytics architectures such as Data Warehouse, Data Lake, Lakehouse, Data Fabric, and Data Mesh, leveraging your multi-year professional experience.
  1. Design client-specific solutions: You will design sophisticated, client-specific solutions by applying best practices, backed by your proven, long-standing technology expertise in AWS and/or Google Cloud.
  1. Lead strategic projects: Through your multi-year experience, you will ensure high-quality and efficient implementation and lead strategically important projects as a Product Owner, Data Architect, or Lead Developer.
  1. Support stakeholders: You will act confidently in projects, engaging on equal footing with functional and technical contacts up to the management and C-level.
  1. Manage Cloud Data Engineering engagements: You will be responsible for the holistic content design of our Cloud Data Engineering engagements and serve as the central point of contact for employees and clients.
  1. Ensure quality, architecture standards & continuous development: You will ensure compliance with architecture principles and quality standards and continuously develop our Cloud Data & Analytics methodologies and best practices.

YOUR PROFILE

  1. Long-standing expertise with data platforms: You have at least five years of relevant professional experience and a deep understanding of (cloud) data platforms and the Big Data ecosystem (Kafka, Spark, Databricks, Delta Lake, Iceberg, etc.) as well as cloud analytics services (AWS, GCP), ideally supported by vendor certifications (Professional/Specialist level) and proven project experience.
  1. Project experience in leadership roles: You possess demonstrable, multi-year practical project experience as a Product Owner, Data Architect, Lead Developer, or in a comparable leadership function.
  1. Sound Data Platform architecture know-how: You are well-versed in common Data Platform architecture concepts such as Data Lake, DWH and data modeling, Data Mesh, and Delta Lake, and you make architecture decisions with confidence.
  1. Big Data & Analytics technologies: You routinely and securely apply Big Data and analytics technologies such as Databricks and (py)Spark in a project context and make sound technology decisions.
  1. Cloud competence with AWS and GCP: You know the relevant cloud analytics services of AWS and GCP in detail, have used them multiple times in projects, and use them to design scalable Data & Analytics architectures.
  1. AI competence: You possess in-depth AI expertise, actively shape its responsible use within your area of responsibility, and act as an enabler for clients as well as internally at adesso.
  1. Language skills: You have very good German and good English language skills, both written and spoken.

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