Key Skills: Neo4j, Graphql, Azure, Azure ADF, Data Engineer, Azure Databricks
Roles and Responsibilities:
- Act as the Data Architect to ensure the delivery of all commitments on time and in high quality.
- Manage the data model and schema.
- Work closely with product and engineering teams to provide evaluation and recommendations of design patterns and solutions for data platforms.
- Focus on Graph-based CDP, ETL, and Lambda architectures.
- Provide technical inputs to agile processes, including epic, story, and task definition to resolve issues and remove barriers throughout the lifecycle of client engagements.
- Collaborate with Marcel's data, product, and engineering teams to deliver on all requests pertaining to Data, Features, Graph Schema, Feeds and Integrations, Data Science Models, and other data management-related requirements.
- Ensure successful end-to-end delivery of features, managing all data lifecycle events correctly and implementing SLAs as required.
- Drive the Data and Engineering team to deliver feature requirements from inception to production.
Skills Required:
- Proficiency in Azure cloud services and Azure ADF
- Strong knowledge of Neo4j and GraphQL
- Experience with Azure Databricks and ETL pipelines
- Understanding of Graph-based CDP and Lambda architecture
- Ability to manage data models and schema design
- Strong collaboration skills with product and engineering teams
Education: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field