The Mintel Data Warehouse Architect will be a technical leader and an advocate for data management best practices at Mintel. This individual will have the opportunity to shape the overall design and direction of Mintel’s modern data and analytics platforms, propose best practice data management principles, and design solutions using the latest data technologies. This is a hands-on architecture role: this individual will be a thought leader, a designer and a developer of Mintel’s data architecture.

What You Will Do:

  • Become an expert in Mintel’s current data structures and product capabilities; support the development of a roadmap to deliver constant improvements
  • Lead the design and implementation of Mintel’s modern data analytics platform (data modeling and ETL design, tool selection, process management and data flows)
  • Work with stakeholders throughout Mintel to understand our data/analytics needs and  design optimal data structures and solutions to support them
  • Help implement best practices of data management and design; be an active participant in our data governance initiatives
  • Be a key stakeholder and a hands-on contributor to the ingestion, transformation, and structuring of both new and existing data sources
  • Continually learn - as a part of a fluid, innovation focused team, you will stay current on emerging data technologies, vendors and solutions

What We Are Looking For:

  • 6+ years combined experience in data architecture, data modeling, data warehouse design, ETL or data engineering
  • Knowledge of data modeling principles for both relational and analytical environments
  • Professional experience developing data solutions in a public cloud environment (AWS and GCP preferred, Azure accepted); a related certificate preferred
  • Knowledge of IaaS, PaaS and SaaS architecture principles and appropriate providers of data focused solutions for managing data and analytics
  • Expert proficiency in SQL required; working proficiency in Python or comparable language strongly preferred
  • Experience working with both structured data platforms (dbms) as well as no-SQL, graph and document stores; experience with solr and elastic search preferred
  • Proficiency in at least one ETL tool: Talend, Informatica, etc.
  • University degree holder in a related discipline strongly preferred
  • Communication and data presentation skills with the ability to converse with both technical and non-technical stakeholders
  • Team player with a collaborative nature
  • Strong work ethic with an inherent sense of ownership and responsibility
  • Role must be local to our Chicago, IL location with the ability to travel internationally

Equal Opportunity Employer:  Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets


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