Data Platform & Data Architecture Consultant

3 мес. назад

GermanyEuropeOnsite

terraformpulumicloudformationdata catalogdata contractsrbacsla

Consultant role focused on designing and operating cloud data platforms and data architectures to enable scalable and secure organizational data usage.

О компании

About the role As a  Data Platform & Data Architecture Consultant , you are the person clients trust to turn their data infrastructure from a bottleneck into a competitive advantage. You design data landscapes, stand up and scale cloud data platforms, and set the guardrails that let entire organisations build on data safely and efficiently. Our consultants bring varied paths and perspectives to this work. What unites them is structural thinking, a drive to understand the business context behind every technical decision, and the ability to operate across both the blueprint and the build. Across engagements, you may operate as a data architect, lead a platform build, or contribute at the strategic advisory level, often blending several of these roles within a single engagement. &nbs

Требования

Master’s Degree in Engineering or Technology (e.g., Computer Science, Data Engineering, Information Systems, or similar) 
Verbal and written fluency in English
2–4 years of full-time work experience in cloud data infrastructure, data platform engineering, or data architecture. Experience working in agile product or delivery teams, gained after completing your Master's degree
Strong hands-on experience with at least one major cloud platform (AWS, Azure, or GCP), including compute, storage, networking, and identity management
Practical experience with at least one modern cloud data platform such as Snowflake, BigQuery, Databricks, Redshift, or Microsoft Fabric
Experience with Infrastructure as Code (e.g., Terraform, Pulumi, or CloudFormation) and modern CI/CD and DevOps workflows
Experience with data modeling, data architecture, or designing data flows and integration patterns across systems
Experience designing or operating data governance, security controls, and platform observability in environments serving multiple teams or domains
Demonstrated ability to collaborate with diverse stakeholders including engineers, analysts, product owners, and business leaders in client-facing settings

Будет плюсом

Experience with data mesh, data product, or data lakehouse architectures at an organisational level
Depth in enterprise data architecture, including conceptual, logical, and physical modeling, data lineage, and approaches such as dimensional modeling or Data Vault
Hands-on experience with multi-tenant platform design or multi-cloud environments
Familiarity with container orchestration (Kubernetes, Docker) in data platform contexts