Junior Data Architect

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
Take responsibility for client deliverables
Support in business development
Engage with the clients to understand their business needs, pain points and realities
Take an active role in coaching and developing junior consultants in the team
Design conceptual, logical and/or physical data models and repositories, as well as data ontologies.
Gather, challenge and prioritize clients data requirements
Oversee the design of the data architecture and the technical architecture for the old- fashioned and modern data platforms, including data acquisition and integration, data modeling, transformation and quality processes, master data management, data warehousing and data marts, data lakehouse, data fabric and data mesh.
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).
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.
Support the clients in accessing accurate and understandable data
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

Experience in implementing ETL data flows and data pipelines, and know one or more of the following tools: IBM Datastage, Oracle ODI, Airflow, DBT, NiFi, etc.
You have a strong business understanding of the financial sector (Banking and Financial Institutions)
Any experience with cloud platforms such as AWS, Azure and Google Cloud is a real asset.
You have good understanding of the different data architecture patterns: Data Fabric, Data Mesh, Data Warehouse, Data Marts, data modeling, ontologies & knowledge graphs, MicroServices
Experience in Hadoop ecosystem (Spark, Kafka, MinIO, Hive, ...), Docker and orchestration platform (Kubernetes, Openshift, AKS, GKE...), and NoSQL Databases (MongoDB, Cassandra, Neo4j)
Experience in working closely with business leaders to identify business needs and data opportunities
You have concrete data modeling experience and can define a conceptual data model and translate it into a logical and physical one.
You have a proven track record and at least 3- 5 years of 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 will join a dynamic and growing team with a great mix of young and experienced professionals focusing on Data Platforms and analytics.
We are proud of our flexible working arrangements, and we will support you to build a successful career and deliver excellent client service, without sacrificing your priorities. While our client- facing profession might require part- time work at client sites and business traveling at times, we are committed to helping you achieve a lifestyle balance.
You will get extensive trainings on technical matters, as well as soft skills and project management, and you will have access to new technologies and innovative equipment.
You will be part of the FPT family where everyone is willing to offer support and senior management is very accessible.
You will be part of a leading global SI and Technology Company.

Cập nhật gần nhất lúc: 2024-04-03 12:28:42