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Employment: Full-time — employment source
Employment type Full time
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What you’ll work on

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.

Our consultants bring varied paths and perspectives to this work.

What you’ll bring

All qualifications

Core experience

Master’s Degree in Engineering or Technology (e.g., Computer Science, Data Engineering, Information Systems, or similar)
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
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

Preferred experience

Experience with data mesh, data product, or data lakehouse architectures at an organisational level
Hands-on experience with multi-tenant platform design or multi-cloud environments
Familiarity with container orchestration (Kubernetes, Docker) in data platform contexts

Qualification wording

Master’s Degree in Engineering or Technology (e.g., Computer Science, Data Engineering, Information Systems, or similar)

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

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 with data mesh, data product, or data lakehouse architectures at an organisational level

Hands-on experience with multi-tenant platform design or multi-cloud environments

Familiarity with container orchestration (Kubernetes, Docker) in data platform contexts

Tools in this posting

AWS
Azure
BigQuery
Databricks
Docker
Google Cloud (GCP)
Kubernetes
Redshift
Snowflake
Terraform

Source

- 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

- 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

- Hands-on experience with multi-tenant platform design or multi-cloud environments - Familiarity with container orchestration (Kubernetes, Docker) in data platform contexts Equal opportunity statement

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.

- 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

Job description

View original posting ↗

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, then turn that into platform strategy and architecture decisions. You are the person a CTO trusts to make the right call on how their data infrastructure should evolve.

Minimum Qualifications

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

Preferred Qualifications

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

Equal opportunity statement

Netlight strives to be a truly diverse, equitable and inclusive organization. Regardless of who you are, what personality, background, and experience you have, you enrich our culture through your values. Netlight’s purpose is to unleash full potential, realize great careers, and fulfill personal growth. To achieve this, we have a highly engaged network organization, where every employee gets a mentor, delivery coach and personal communities. The key to our continued success is trust and personal responsibility, diverse experiences, challenging opportunities and developing from personal values. Every Netlighter is an active part of building and shaping this culture, which leads to a clear correlation between personal growth and the growth of Netlight.

Ready to shape the future with us?

If we find that your profile matches what we are looking for, you will hear from us within two weeks of applying.

Submit your application today—we’re excited to get to know you!

Employment type

Full time

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Location & working pattern

Berlin

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Status in our records: Active
First seen by us: May 12, 2026
Recorded sightings: 41
Last seen by us: Oct 9, 2026

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