Data Modeler Architect Consultant

Data Architect / Modeler


Location: Jersey City, NJ

• Had done extensive enterprise scale Data Architecture work serving ODS and ADS requirements of the business
• Someone with Data Modelling Exp and building ingestion pipelines to meet near real time and batch-based pipelines
• Have worked on Hadoop data ingestion and Hive Data models
• Understand various technological solution for building Canonical Data Model (CDM) and big data solution including pros and cons associated with it.
• What is the best ingestion framework for performance
• What are the options for CDM design, should we have a flat structure or have a normalized structure and what are the associated pros and cons around it
• What are the options for analytics design, should we have a flat structure or have a normalized structure and what are the associated pros and cons around it
• What are the performance challenges for each of the solutions
• Commercial Banking experience modelling data platforms
• Should be hands on with tech solutions involving SQL \ no SQL \ big data \ near real time messaging technologies (KAFKA etc.) and batch based ETL technologies.

• Experience with containerization technologies (Docker, Kubernetes).
• Knowledge of machine learning tools and integration with Hadoop.
• Experience in migrating on-prem Hadoop clusters to cloud platforms.
• Familiarity with CI/CD pipelines for big data solutions.
• A product mindset is a must. Should have played a key role in formulating product centric data strategy for a financial services client.
• Exposure to treasury areas like liquidity management, payments or capital management will be a huge plus.
• Technical skills: Big data, cloud data management, Data lineage, data quality platforms, data distribution architectures, Enterprise data patterns across multiple data layers.