Data Platform & Data Architecture Consultant

BerlinFull timemid

OtherArchitecture

0 views0 saves0 applied

Apply Now

Quick Summary

Overview

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.

Requirements Summary

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…

Technical Tools

awsazurebigquerydockergcpkubernetespulumisnowflaketerraformagileci-cddatabase-designnetworking

About the Role

~1 min read

Requirements

~1 min read

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

Requirements

~2 min read

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

Possibility to be part of growing one of the most successful tech consultancies in the industry

Diverse client landscape, incl. some of the most innovative tech companies & exciting projects with lots of room for professional development

Access to an international network of 2,000+ highly talented individuals

An experienced mentor and a professional coach to guide you throughout your career

An international & diverse working environment with a central and modern office space

Competitive and transparent salary model with equal pay regardless of the assignment, biannual salary reviews, and attractive benefits (e.g. company shares, Deutschlandticket, parental benefits & much more)

The freedom to shape your own path in terms of clients, domains, and roles, supported by a global community

Access to Netlight's Edge network with its competence cells, conferences, and a culture where sharing knowledge is as valued as acquiring it. You are encouraged to contribute to Netlight's thought leadership within Data & AI