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Data & Information Architect
Привлекательная позиция в быстрорастущей компании, ставшей частью Fortune 500. Четко определенные обязанности и возможность работать с современным стеком (Cloud-native, Event-driven) в интересном домене морской логистики.
Сложность вакансии
Роль требует глубоких знаний в области доменного проектирования (DDD) и канонического моделирования данных, а также опыта работы с морскими стандартами (IMO, BIMCO). Высокий уровень ответственности за принятие архитектурных решений и управление метаданными в распределенных системах.
Анализ зарплаты
Зарплата для архитекторов данных в Бухаресте обычно выше среднего по IT-рынку из-за дефицита специалистов такого уровня. Указанный диапазон соответствует рыночным ожиданиям для Senior/Lead позиций в международных сервисных компаниях Румынии.
Сопроводительное письмо
I am writing to express my strong interest in the Data & Information Architect position at Amdaris. With over five years of experience in enterprise data modeling and a deep understanding of Domain-Driven Design, I am confident in my ability to define and embed a shared Data & Analytics architecture that aligns with your ambitious growth plans. My background in designing technology-neutral Canonical Data Models and establishing robust data governance frameworks directly matches the requirements for standardizing maritime data domains.
Throughout my career, I have focused on bridging the gap between operational data needs and advanced analytics. I am particularly excited about the opportunity to work on complex maritime concepts such as vessel and voyage modeling, ensuring that data is not only consistent but also scalable for ML-ready use cases. I am adept at using Architecture Decision Records (ADRs) to document guardrails and have a proven track record of influencing cross-functional teams to adopt standardized data patterns. I look forward to the possibility of contributing to your team's success.
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Откликнитесь в amdaris уже сейчас
Присоединяйтесь к Amdaris и Insight, чтобы проектировать архитектуру данных для лидеров морской индустрии!
Описание вакансии
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 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 the company's 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 the company'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.
To see more roles, click here.
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Навыки
- Data Architecture
- Information Architecture
- Data Modeling
- Domain-Driven Design
- Canonical Data Model
- Semantic Modeling
- Event-Driven Architecture
- API
- Cloud Native
- Data Lake
- Metadata Management
- Data Governance
Возможные вопросы на собеседовании
Проверка опыта работы с ключевой методологией, указанной в вакансии.
Как вы применяли принципы Domain-Driven Design (DDD) при проектировании архитектуры данных в ваших предыдущих проектах?
Вакансия делает упор на создание CDM для стандартизации обмена данными.
Опишите ваш процесс разработки технологически нейтральной канонической модели данных (CDM) для сложной бизнес-области.
Важная часть роли — обеспечение баланса между текущими операциями и аналитикой.
Как вы обеспечиваете согласованность между операционными моделями данных и аналитическими представлениями для поддержки ML и отчетности?
Роль предполагает влияние на решения без формальной власти.
Расскажите о случае, когда вам пришлось разрешать конфликт между командами относительно владения данными или дизайна домена. Как вы достигли консенсуса?
Проверка способности кандидата работать в рамках отраслевых стандартов.
Каков ваш опыт работы с отраслевыми стандартами обмена данными (например, EDIFACT, ISO) и как вы интегрируете их в проприетарные системы?
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