Data Architect

Key Responsibilities

As a Data Architect, you will support the clients in their journey to become data-driven, by capturing and understanding their business needs, and defining and implementing Data and Analytics reference architectures, solutions and roadmaps. Furthermore, you will actively help our practice in its objective to stay a Leader in Data & Analytics.

•    Define, guide and advise clients in developing data strategies
•    Engage with the clients to understand their business needs, pain points and realities
•    Gather, challenge and prioritize clients data requirements
•    Define and design innovative Data & Analytics architectures and solutions that leverage the right trade-off between clients realities, latest and disruptive technologies, current and future business needs, budget constraints, data availability and resource requirements.

•    Oversee the design of the data architecture and the technical architecture for the old-fashion and modern data platforms, including data acquisition and integration, data modelling, transformation and quality processes, master data management, data warehousing and data marts, data lakehouse, data fabric and data mesh.

•    Design conceptual, logical and/or physical data models and repositories, as well as data ontologies.

•    Work closely with the clients and other architects to define metadata layers, technical Data strategies and optimal integration of innovative technologies within existing enterprise architecture landscape

•    Evaluate and select the tools and components necessary for optimal data management (data acquisition, data storage, data quality, data governance, data visualization and advanced analytics).
•    Take responsibility for client deliverables
•    Support the clients in accessing accurate and understandable data
•    Take an active role in coaching and developing junior consultants in the team
•    Support in business development

Skills and Attributes for Success

•    You are passionate about Data & Analytics and you want to continue to develop your expertise in this domain
•    You have a proven track record and at least 5-10 years’ experience in one or more of the following areas: data strategy, Data  architecture, (modern) data platform architecture, data modeling, data governance, Business Intelligence, Big Data, reporting & data warehousing, AI and Machine Learning.
•    You have good understanding of the different data architecture patterns: Data Fabric, Data Mesh, Data Warehouse, Data Marts, data modeling, ontologies & knowledge graphs, MicroServices
•    You have experience in implementing ETL data flows and data pipelines, and know one or more of the following tools: Informatica PowerCenter, SAS Data Integration Studio, Microsoft SSIS, Ab Initio, etc.
•    Ideally, you have experience in Hadoop ecosystem (Spark, Kafka, HDFS, Hive, HBase, …), Docker and orchestration platform (Kubernetes, Openshift, AKS, GKE...), and noSQL Databases (MongoDB, Cassandra, Neo4j)
•    Any experience with cloud platforms such as AWS, Azure and Google Cloud is a real asset.
•    You have experience in working closely with business leaders to identify business needs and data opportunities
•    You have a concrete data modelling experience, and are able to define a conceptual data model and translate it into a logical and physical one.