Data Architect

Zodiac Maritime; London; On-site; GBP 145,000 - 165,000; Full time

Job summary

Zodiac Maritime is seeking a Data Architect to join their data team. The role involves designing and maintaining the enterprise data architecture and ensuring alignment with business goals. Candidates should possess strong expertise in data architecture, modeling, and governance, along with hands-on experience with Azure tools. This position offers a unique opportunity to drive data-driven decisions in a maritime transportation context.

Qualifications

• Proven experience in data architecture and enterprise data strategy.
• Ability to communicate complex data concepts to non-technical stakeholders.
• Hands-on experience with Azure Databricks and Unity Catalog.

Responsibilities

• Define and enforce enterprise data architecture principles and standards.
• Design and document data models optimizing for Azure Databricks.
• Ensure data architecture supports regulatory compliance and data quality.

Skills

Data Architecture

Data Modelling

Data Governance

Azure Databricks

Unity Catalog

Communication

Cloud Security

Education

Bachelor’s Degree in Computer Science

Master’s Degree in Information Systems

Tools

SQL DBML

Erwin

PowerDesigner

Job description

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As the Data Architect you will join a small but powerful data team, with a mission to transform Zodiac Maritime into a data driven organisation. You will be responsible for designing, developing, and maintaining Zodiac Maritime’s enterprise data architecture, ensuring alignment with business objectives and long-term scalability. Reporting to the Head of Data, this role will be responsible to define and maintain data standards, data models, and data governance frameworks to enable effective data management and analytics across the organization.

The ideal candidate will have strong expertise in data architecture, data modelling, and data governance, with hands-on experience in Azure Databricks and Unity Catalog for metadata management and scalable data & analytics.

Key responsibilities and primary deliverables

• Define and enforce enterprise data architecture principles, policies, and standards in collaboration with the Head of Data.
• Develop and maintain current (“as-is”) and future (“to-be”) data architecture blueprints, ensuring alignment with business needs.
• Design and document conceptual, logical, and physical data models, optimizing for Azure Databricks Lakehouse implementation and Unity Catalog integration.
• Implement and manage data cataloguing and metadata governance using Unity Catalog to contextualise data and ensure data discoverability, lineage, and compliance.
• Support Head of Data to define data access, security, and sharing policies for the enterprise and work with the engineering team to implement policies within Azure Databricks environments.
• Work closely with business stakeholders, IT, and external partners to capture data requirements and translate them into scalable architectural solutions.
• Ensure data architecture supports regulatory compliance, security, and data quality requirements.
• Support Head of Data in guiding the adoption of Azure data services, including Databricks Dashboards, Databricks Genie, Unity Catalog and Power BI, while optimizing existing data structures.
• Provide oversight on data integration strategies and work with data engineer on pipeline development & monitoring).

Skills profile

• Proven experience in data architecture, data modelling, and enterprise data strategy.
• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
• Ability to communicate complex data concepts to non-technical stakeholders.
• Expertise in designing and documenting data architectures (e.g., data warehouses, lakehouses, master/reference data models).
• Hands-on experience with Azure Databricks, including:
• Workspace and cluster configuration.
• Delta Lake table design and optimization.
• Integration with Unity Catalog for metadata management.
• Proficiency with Unity Catalog, including:
• Setting up data lineage and governance policies.
• Managing access controls and data sharing.
• Strong knowledge of data modelling tools (e.g., Erwin, PowerDesigner, SQL DBML).
• Familiarity with data governance frameworks and tools.
• Understanding of cloud security and compliance (e.g., GDPR, ISO 27001) in Azure environments.

Due to the high volume of applications, we regret that only shortlisted candidates will be contacted.

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Maritime Transportation

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