Position: Enterprise Data Architect
Company: Ciklum
Experience required: 5y
English level: upper

Ciklum will build the collaborative sportswear design platform for TOP-5 company of the sportswear market. Scalable solution that will be used by famous worldwide sportswear designers to create and bring to market new sports fashion collections. Part of the larger Product Lifecycle Management ecosystem the platform delivered within the current project will become a market differentiator and key comparative advantage for multi-billion business. Project will use proven and edge technologies and concepts, such as SAFe, Behaviour-Driven Development, DevOps, Event-Driven architecture.

Responsibilities
Design and plan Data Integration and Consolidation Layer, migration from SOAP to event-driven enterprise architecture, migration from on-prem to AWS Amazon cloud
Design and lead implementation for data migrations from Oracle to Data Lake based on Cassandra
Design migration to Real-time AI Infrastructure and Advance Analytics on Data Lake
Identify, define, direct, and perform project issue analysis to resolve issues, analysis of the technical feasibility of proposed data solutions
Design projects with broad implication for the business/stakeholders and/or the future architecture, successfully addressing cross-technology and cross-platform issues. Selects tools and methodologies for projects
Work with business and technical stakeholders to understand their business needs and design data and analytics solutions that will address the need
Translate business requirements documentation into data requirements and source-to-target data mappings
Actively participate in design and data model reviews providing constructive feedback
Provide guidance to product and development teams directed towards technical data-related issues
Ensure changes to the data environment are compliant to the architectural standards

Requirements:
7+ years in Engineering or Technology roles
5+ years in enterprise, application and information data architecture design
Good understanding of SOAP and REST interfaces
Experience in Cassandra and Data Lakes architecture design
Good experience in Oracle DB and Pentaho DI development
Experience in AWS Data Platform
Ability to clearly present to senior management with confidence
Data Modeling, Data Warehousing, Dimensional Modeling, Data Modeling for Big data and Metadata Management
Background in ETL and data processing, know how to transform data to meet business goals
Deep understanding of SQL and working knowledge of using SQL for various reporting and transformation needs
Advanced knowledge of application, data, and infrastructure disciplines
Excellent interpersonal and communication including superior presentation skills