Job ID: MP-DA (98090708)
Data Architect with data profiling, Data Lakes, DW, Big Data, ETL, pipelines, Data Science, data governance, modeling and insurance experience
Chicago, IL Client – WNC
Duration – 6+ monthsPassport# mandatory
Analyze, design, and build data models to fulfil the strategic data needs of the business
Design, support and provide guidance for data life cycle / information life cycle involving upgrade, management, de-commission, and archive of data in compliance with data policy
Provide input into data dictionaries, data glossary, data catalog
Skills :
Strategize, Design data architecture for specific business problems or enterprise, align it to enterprise-wide standards and principles.
Insurance domain experience and Insurance analytics
Design and implementation of strategy, directing the evaluation of strategies and policies to ensure business requirements are being met.
Translate and accurately communicate across technical and non-technical stakeholders as well as facilitate discussions within a multidisciplinary team, with potentially difficult dynamics.
Data profiling, source / target system analysis and present clear insights on data.
Provide oversight from Data Architecture for Data Lakes, DWs, Big Data platforms & ETL / data pipelines (streaming, batch etc.) and Data Science needs
Relevant basic visuals and presentations of data to various stakeholders
Enable and ensure data governance, assume responsibility for the assurance of data solutions and make recommendations to ensure compliance.
Produce, maintain, and update relevant data models for specific business needs and also reverse-engineer data models from existing systems
Develop and ensure implementation of data standards, analyze where data standards have been applied or breached and its impact
Implement, maintain & keep current, the metadata repositories to complete complex tasks such as data and systems integration impact analysis.
Troubleshoot, assist, identify root cause, resolve/remedy problems in databases, data processes, data products and services
Analyze data for quality and define data quality rules and metrics