Data & Information Architect

We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team. 

WE ARE AMDARIS

We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.

Job Description

The Data & Information Architect is accountable for defining and embedding a shared Data & Analytics architecture. This role provides practical architectural guardrails, establishes clear ownership and decision rights for data domains, and enables analytics use cases to be delivered through standard, compliant patterns - without ad-hoc data handling or policy exceptions. You will work across product, platform, and domain teams to ensure data is modelled consistently, governed effectively, and usable for operational, analytical, and advanced analytics use cases.

Main Duties and Responsibilities

Data & Analytics Architecture

• Define, document, and maintain the target Data & Analytics architecture, covering data domains, ingestion pipelines, analytics layers, and access patterns.
• Contribute to the definition of architectural guardrails that explain what teams must do—not just what they must avoid.
• Provide approved (“golden path”) patterns for data ingestion, analytics, and reporting aligned with security, privacy, and governance requirements.

 

Common Domain & Canonical Modelling

• Define and govern the SmartSea Common Domain Model, establishing shared semantic definitions for core maritime concepts such as vessel, seafarer, voyage, cargo, port call, certificate, and contract.
• Design and evolve a technology-neutral Canonical Data Model (CDM) to standardise data exchange for targeted integrations.
• Ensure consistency between operational data models and analytical representations to support reporting and advanced analytics.

 

Ownership, Governance & Decision-Making

• Establish and document clear ownership and stewardship for data domains, datasets, and analytics platforms.
• Define decision rights and resolve cross-domain data design conflicts in collaboration with domain and platform leaders.
• Drive metadata management, glossary definitions, and lineage standards to improve discoverability, traceability, and regulatory compliance (e.g. IMO, EU MRV, ESG).

 

Analytics Enablement

• Ensure the data architecture enables scalable reporting, self-service analytics, and ML-ready data without ad-hoc handling.
• Work with analytics and data scientists to align data structures, pipelines, and access patterns with real analytical use cases.
• Balance operational and analytical needs across real-time events, reporting, and historical analysis.

 

Collaboration & Architecture Practice

• Embed data architecture decisions into Architecture Decision Records (ADRs) and architecture review forums.
• Act as a bridge between domain experts, product managers, platform teams, and delivery teams to ensure data architecture is understood, adopted, and applied.
• Contribute to the evolution of platform-wide architecture standards and review practices.

 

Standards & Industry Alignment

• Align SmartSea data models with relevant maritime and logistics standards (e.g. S-100, IMO/ISO/EDIFACT, BIMCO, DCSA) where appropriate, while supporting proprietary innovation.
• Evaluate emerging data and analytics practices and recommend improvements aligned with SmartSea’s strategy.

Skills and Qualifications

• 5+ years’ experience in data architecture, information architecture, or enterprise data modelling roles.
• Strong expertise in canonical data modelling and semantic modelling across complex, distributed systems.
• Experience defining data architectures that support both operational and analytical use cases.
• Familiarity with event-driven architectures, APIs, and cloud-native data platforms (e.g. data lakes, data hubs, event buses).
• Proven experience working with domain-driven design (DDD) teams in agile product organisations.
• Ability to influence decisions and drive adoption without formal authority.

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