DATA ARCHITECT

Ayesa Digital; Brussel Hoofdstad; Sur place; EUR 95 000 - 120 000; Plein temps

Avantages offerts par ce poste

Prestigious EU projects

International team environment

Professional growth and development

Résumé du poste

Ayesa Digital is seeking a Data Architect to lead the design and implementation of its data strategy across cloud and hybrid environments. You will craft data models, governance, and security controls while aligning with business objectives and EU projects.

You will collaborate with data engineers and scientists to ensure scalable, cost-efficient solutions and mentor teams on best practices in data architecture and governance.

Qualifications

• In-depth knowledge of enterprise data architecture methods and reference models.
• Experience with data mesh, data fabric patterns and 3NF/Dimensional modeling.
• Proficient in metadata/cataloging platforms and data governance frameworks.
• Understanding privacy, security, and compliance incl. GDPR and ISO standards.

Responsabilités

• Translate business requirements into data architecture designs and specs.
• Create conceptual, logical, and physical data models for analytics.
• Maintain metadata repositories ensuring data accuracy and lineage.
• Architect data integration from ERPs/CRMs using ETL/ELT tools into a unified framework.
• Build streaming pipelines for real-time analytics (Kafka, Spark).
• Define data governance policies and data catalog usage.
• Implement security (encryption, RBAC/ABAC) and GDPR-aligned architectures.
• Evaluate databases and cloud platforms; design scalable cloud/hybrid solutions.
• Monitor and optimize data systems for performance and cost; mentor teams.

Connaissances

Enterprise architecture

Data modelling

Metadata management

Data governance

ETL/ELT design

Streaming data

Cloud platforms

Data security

Data quality monitoring

Cost optimization

Formation

TOGAF / CDMP / DAMA DMBoK / ISO governance

Outils

Apache NiFi

Talend

Kafka

Spark Streaming

Snowflake

Azure Synapse

Databricks

Collibra / Alation / Purview

OpenLineage

Description du poste

Every professional in our company is essential. Thanks to their talent, we continue to expand: today, we are a global team of more than 11,000 people working toward a shared mission.

Ayesa Digital is currently participating in high-impact European Union projects designed to address major European challenges and drive science and innovation. These strategic technological initiatives stand out for their international scope and strong commitment to socially oriented results.

We are looking for a Data Architect to join our international team and contribute to the develop and implementation of the organizations overarching data strategy, creating blueprints for data management that align with and enable key business objectives.

Key Responsibilities

• Translate business requirements into technical specifications and data architecture designs, ensuring the data infrastructure supports both immediate and long-term needs.
• Create conceptual, logical, and physical data models (e.g., dimensional for analytics) that define data structure, relationships, and storage.
• Maintain metadata repositories to ensure data accuracy, lineage, and integration, curating both technical and business metadata for clarity.
• Architect solutions to integrate data from disparate sources (ERPs, CRMs) using ETL/ELT processes and tools (e.g., Apache NiFi, Talend) into a unified framework.
• Build and manage streaming data pipelines (e.g., using Kafka, Spark Streaming) to support real-time analytics and decision-making.
• Define and enforce data governance policies, including data quality standards, lineage tracking, access controls, and a data catalog.
• Implement security protocols (encryption, RBAC) and design architectures to ensure adherence to regulations like GDPR.
• Implement processes for data profiling, validation, and cleansing to ensure ongoing data accuracy, consistency, and reliability.
• Evaluate and select appropriate database systems (SQL, NoSQL), cloud platforms (AWS, Azure, GCP), and tools that meet scalability and performance needs.
• Architect and deploy scalable data solutions in cloud (e.g., Snowflake) or hybrid environments, optimizing for cost-efficiency.
• Monitor, troubleshoot, and optimize data systems and pipelines for performance, scalability, and cost.
• Work with business leaders, data engineers, and scientists to ensure the architecture meets diverse needs and bridges technical and non-technical gaps.
• Mentor data teams on best practices, standards, and tools; lead data-centric projects and strategic initiatives.
• Oversee the entire data lifecycle, from collection and storage to archiving and purging, ensuring data remains manageable and relevant.
• Stay abreast of trends in big data, AI, and cloud computing to continuously innovate and modernize the data architecture.

What We Are Looking For (Requirements)

• Knowledge of enterprise data architecture methods and reference models (e.g., DAMA DMBOK, data mesh principles, data fabric patterns).
• Knowledge of data modelling approaches: 3NF, dimensional/star-schema, and Data Vault 2.0; experience with modelling languages/tools (e.g., ER, UML, ArchiMate; ERwin, SAP PowerDesigner).
• Experience with metadata and cataloguing platforms to govern lineage and ownership (e.g., Collibra, Alation, Azure Purview; OpenLineage).
• Knowledge of data governance and quality frameworks (e.g., ISO 8000, ISO/IEC 11179), including stewardship, data domains, and controls.
• Understanding of privacy, security, and compliance requirements (e.g., GDPR, ISO/IEC 27001), including encryption, key management, RBAC/ABAC, and data residency.
• Experience with integration patterns and pipelines: ETL/ELT, CDC, event streaming (e.g., Kafka, Debezium) and orchestration (e.g., Airflow, Azure Data Factory, Dagster).
• Knowledge of lakehouse and warehouse architectures, table/format standards (e.g., Delta Lake, Apache Iceberg, Apache Hudi) and columnar formats (e.g., Parquet).
• Experience with cloud data platforms such as Azure Synapse/Databricks/Microsoft Fabric, Snowflake, Amazon Redshift.
• Knowledge of relational and NoSQL data stores and when to apply them (e.g., PostgreSQL/Oracle; MongoDB, Cassandra; time-series/graph).
• Experience with distributed compute/query engines (e.g., Spark, Trino/Presto, Databricks SQL) for large-scale processing.
• Knowledge of API and interoperability standards for data access (e.g., SQL, REST, GraphQL, gRPC; OpenAPI/AsyncAPI specifications).
• Experience with semantic/metrics layers and BI modelling (e.g., dbt Semantic Layer, LookML, MetricFlow) to standardise KPIs.
• Understanding of master and reference data management practices and tooling (e.g., Informatica MDM, Semarchy, Reltio).
• Experience with data quality/observability tooling and SLAs/SLOs (e.g., Great Expectations, Soda, Monte Carlo) to monitor freshness, completeness, and lineage.
• Knowledge of streaming and real-time patterns (e.g., stream processing with Spark Structured Streaming, Flink) and state stores (e.g., Kafka Streams).
• Experience with DevSecOps/DataOps practices: version control, CI/CD for data, automated testing, and environment promotion (e.g., Git, GitHub/GitLab CI).
• Knowledge of Infrastructure-as-Code and policy-as-code for data platforms (e.g., Terraform, Bicep; OPA) to ensure repeatable, governed deployments.
• Understanding of backup/restore, disaster recovery, and retention strategies with RPO/RTO targets for data platforms.
• Experience with cost and performance optimisation across compute, storage, and egress (e.g., workload right-sizing, caching/partitioning, lifecycle policies).
• Knowledge of collaboration and documentation practices (e.g., ADRs, C4 context for data flows, glossary/business term management).
• Understanding of AI/analytics enablement: feature stores and model data needs (e.g., Feast), responsible AI data controls aligned to EU AI Act principles.

Mandatory one of the following or an equivalent certification: TOGAF, CDMP, DAMA DMBoK, and ISO data governance standards.

Optional: Cloud data certifications (AWS, Azure, etc.), ITIL 4 Foundation or SAFe, and security certifications (e.g., CCSP, CISSP).

What We Offer

• Prestigious projects within European institutions.
• International, innovative, and multicultural environments.
• Continuous support from a team of experts in EU projects.

If you are ambitious, enthusiastic, and seeking a new professional challenge in international projects with real-world impact, this is the place for you!

In accordance with Organic Law 3/2007 of March 22, the company is committed to promoting the defense and effective application of the principle of equality between men and women, preventing any type of labor discrimination based on sex, and guaranteeing equal entry opportunities. Furthermore, we promote diversity and reject any discrimination based on race, gender, functional diversity, religion, sexual orientation, gender identity, or any other personal or social condition, striving to build an inclusive and enriching environment.