Data Principle Architect

Bekijk en reageer bij Nigel Frank International (externe link)

Hands-on Data Principal Architect voor een consultancy in Zweden, tussen C-suite en engineering, met Azure, Databricks, Snowflake, dbt en data governance.

Contractvorm: zzp
Eerste waarneming: 4 augustus 2026

Eisen

Ervaring met data governance/catalogus tooling (Unity Catalog, Collibra, Alation) en lineage
dbt en gevorderde SQL
Diepgaande, aantoonbare ervaring met Data Mesh en/of Data Fabric architectuurontwerp
Executive communicatievaardigheden en een 'doer-leader' profiel (schrijft nog code)
GDPR/data residency/RBAC-bekendheid
Sterke hands-on achtergrond in Databricks en Snowflake (Delta Lake, warehousing, query-optimalisatie)
Solide Git/SDLC-discipline
Microsoft Azure expertise

Wensen

Terraform
FinOps/cloud kostenoptimalisatie
Docker/Kubernetes
AWS of GCP exposure
Streaming (Kafka/Event Hubs/Flink)
Python/Scala/Java/Go

Omschrijving

This is an expert/principal-tier consulting position not a hands-off strategy role, but a hands-on leader who sits between the C-suite (CIO, CDO, CMO) and engineering teams. You'll assess a client's existing IT/data landscape, design the future-state data architecture, and personally guide execution of large, high-risk transformations (legacy migrations, platform modernizations). Think: technical architect + trusted advisor + pre-sales technical lead, likely at a strategy/tech consultancy or a vendor's professional services arm, with a strong European (Sweden/EU) compliance angle.

What You'd Actually Be Doing: - Designing enterprise data topologies choosing and implementing Data Mesh (decentralized, domain-owned) vs. Data Fabric (centralized, metadata-driven virtualization) architectures, or a hybrid, based on client context. - Leading legacy-to-cloud migrations moving clients off Hadoop clusters/mainframes/legacy ERPs onto Databricks/Snowflake on Azure, using phased rollouts (assess → dual-run → cutover → optimize) rather than risky "big bang" switchovers. - Building governance & metadata infrastructure data catalogs, lineage tracking, business glossaries (via Unity Catalog, Collibra, or Alation), with federated access control. - Owning compliance-by-design GDPR anonymization, right-to-be-forgotten workflows, data residency/sovereignty within the EU, and increasingly, data quality/governance for the EU AI Act. - Pre-sales and stakeholder translation scoping engagements, diagnosing whether a client has a skills gap vs. a build need, and translating technical tradeoffs (latency, storage cost) into business language for executives. - Staying hands-on writing/reviewing dbt models and SQL, working in proper Git/CI/CD workflows, not just producing PowerPoints.

Must-Haves: - Deep, provable experience with Data Mesh and/or Data Fabric architecture design. - Microsoft Azure expertise (primary cloud target). - Strong hands-on background in Databricks and Snowflake (Delta Lake, warehousing, query optimization). - dbt + advanced SQL. - Experience with data governance/catalog tooling (Unity Catalog, Collibra, Alation) and lineage. - Solid Git/SDLC discipline. - GDPR/data residency/RBAC literacy. - Executive communication skills and a genuine "doer-leader" profile (still writes code, not purely strategic).

Nice-to-Haves: - Python/Scala/Java/Go, AWS or GCP exposure, Terraform, streaming (Kafka/Event Hubs/Flink), Docker/Kubernetes, and FinOps/cloud cost optimization.

Alle opdrachten Bekijk en reageer bij Nigel Frank International (externe link)

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