Company

Berlin

DataPlatform&DataArchitectureConsultant

Berlin, Germany FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Platform & Data Architecture Consultant. Skills: Data Platform Design, Data Architecture, Cloud Data Platforms, Infrastructure as Code, Data Governance. Design data landscapes. Stand up and scale cloud data platforms”

What You'll Achieve.

Turn data infrastructure from a bottleneck into a competitive advantage; Allow entire organisations to build on data safely and efficiently; Scale data access without losing control; Build platforms that multiple teams and business domains can rely on, not just at launch, but as they grow

Industry & Context.

Berlin
Problems you'll solve

Structural thinking

What They're Looking For.

Must Have

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, 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

Nice to Have

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

What You'll Do.

Design data landscapes

Stand up and scale cloud data platforms

Set guardrails for data usage

and harden cloud data platforms end to end

Codify infrastructure

Establish governance frameworks

Build platforms that multiple teams and business domains can rely on

Design logical and physical data models

Map data flows and lineage across systems

Make structural decisions for data organization

Design target-state architecture for cloud lakehouse migration

Define domain boundaries and data product interfaces in data mesh adoption

Work with data engineers

and senior client stakeholders to understand needs

Translate needs into platform strategy and architecture decisions

How You'll Work.

Team & Collaboration

Collaborate with data engineers, data scientists, product owners, and senior client stakeholders; Collaborate with diverse stakeholders including engineers, analysts, product owners, and business leaders in client-facing settings; Work in agile product or delivery teams

Communication Scope

Verbal and written fluency in English

Full Job Description

## Description 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.   What the work looks like Building and operating platforms. You design, provision, and harden cloud data platforms end to end, covering storage and compute, networking, security and IAM, observability, and cost. You codify infrastructure using tools like Terraform, Pulumi, or CloudFormation and establish governance frameworks such as data catalogs, data contracts, RBAC models, and SLAs that let organisations scale data access without losing control. You build platforms that multiple teams and business domains can rely on, not just at launch, but as they grow. Shaping the data architecture. You design logical and physical data models, map data flows and lineage across systems, and make the structural decisions that determine how data is organised, integrated, and consumed. This can mean designing a target-state architecture for a client migrating from legacy systems to a modern cloud lakehouse, or defining domain boundaries and data product interfaces in a data mesh adoption. Advising and translating. You sit at the intersection of technology and business. You work with data engineers, data scientists, product owners, and senior client stakeholders to understand what they need, the

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