Data Platform Architect - Data Mesh & Governance

Places for People; Gloucester; Vor Ort; GBP 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Pension matched up to 7%

Excellent holiday package - 35 days

Cashback plan for healthcare costs

Bonus scheme 2%

Training and development

Employee discounts

Zusammenfassung

Places for People is seeking a Data Architect to shape PfP's evolving data mesh. You will design and govern the data platform architecture, ensuring interoperable, well-governed data products across domains and enterprise standards.

You will collaborate with platform engineers to design robust pipelines (batch, streaming), document architectures, and promote data as a product with strong security, performance and observability.

Qualifikationen

• Experience as a Data Solutions Architect or similar role.
• Strong understanding of Google's BigQuery platform.
• Knowledge of data mesh principles and data warehousing concepts.
• Ability to design robust data pipelines (batch, event-driven, streaming).
• Excellent communication and stakeholder management.

Aufgaben

• Design and oversee data platform architecture across domains.
• Produce architectural documentation and diagrams.
• Embed domain-oriented ownership and a Data as a Product mindset.
• Evaluate tools, infrastructure and services for the platform.
• Establish architectural standards and governance.
• Design and govern data products to be interoperable and trustworthy.
• Create robust data pipelines (batch, streaming).
• Address security, scalability, performance, and observability.

Tools

Google BigQuery

Jobbeschreibung

Places for People is seeking a Data Architect to shape PfP's evolving data mesh. You will design and govern the data platform architecture, ensuring interoperable, well-governed data products across domains and enterprise standards.

You will collaborate with platform engineers to design robust pipelines (batch, streaming), document architectures, and promote data as a product with strong security, performance and observability.