Data Platform & Data Architecture Consultant

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