Data Platform & Data Architecture Consultant
Berlin
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: onsite
From the employer’s posting- Employment
Full-time — employment source
Employment type Full time
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingAs 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.
Design, provision, and harden cloud data platforms end to end
Codify infrastructure with tools like Terraform, Pulumi, or CloudFormation
Establish data catalogs, data contracts, RBAC models, and SLAs
Design logical and physical data models and map data flows and lineage
Turn stakeholder needs into platform strategy and architecture decisions
From the employer’s posting
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.
You design, provision, and harden cloud data platforms end to end
You codify infrastructure using tools like Terraform, Pulumi, or CloudFormation
establish governance frameworks such as data catalogs, data contracts, RBAC models, and SLAs
You design logical and physical data models, map data flows and lineage across systems
turn that into platform strategy and architecture decisions
What you’ll bring
All qualificationsCore 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
Education & alternatives
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
- 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
Tools in this posting
- AWS
- Azure
- BigQuery
- Databricks
- Docker
- GCP
- Kubernetes
- Redshift
- Snowflake
- Terraform
Source — Tool mentions in context
- 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
Posting record
Report an errorOpen 5 monthsWe first saw this posting 170 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- May 12, 2026 · 170 days ago
- Recorded sightings
- 56
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
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- Check the listed location, eligibility and core experience before starting.
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Job 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, 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?
Employment type
Full time
Source details
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- Pay
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- Location & working pattern
Berlin
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