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Data Architect

Milwaukee, WI · Information Technology
Title: Senior Data Architect
Location: Milwaukee, WI (Preference from Milwaukee, WI OR Nearby State who can travel)
Duration: 6+ Months

  • Client develops retail merchandising solutions for global brands and retailers.
  • Using consumer insights and a retail science-based methodology, Client focuses on transportation, cosmetics, and consumer electronics industries.
  • The company specializes in retail environments, merchandising displays, digital merchandising, marketing programs, security solutions, and facility image products.
  • Client is seeking an experienced, highly motivated Data Architect who will support and maintain a state-of-the-art Analytics Center of Excellence using Snowflake SaaS services.
  • The ideal candidate is adept at using large data sets to find opportunities for product, process and metrics optimization and using models to test the effectiveness of different courses of action.
  • They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
  • They must have a proven ability to drive business results with their data-based insights.
  • They must be comfortable working with a wide range of clients, internal stakeholders and functional teams.
  • The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Key Responsibilities / Functions:
  • Coordinate with various functional teams to implement models and monitor outcomes.
  • Monitor and analyze EDR data model performance and data accuracy.
  • Closely collaborate with the Analytics Center of Excellence to design, test and deploy data related solutions.
  • Mine and analyze data from databases to drive optimization and improvement of client programs, product development, marketing techniques and business strategies.
  • Effectively identify and communicate mined data patterns, metrics and KPIs to internal stakeholders.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Provide input into custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad/content targeting and other business outcomes.
Required Qualifications: (Education, Technical Skills/Knowledge)
  • 7+ years' practical experience in the data modeling field.
  • Has a master’s degree in Computer Science or another quantitative field.
  • Experience working with and creating enterprise data architectures in data warehouse platforms such as Snowflake.
  • Experience with data governance utilizing tools like Azure Purview, Alation, Informatica etc.
  • Experience using statistical computer languages (Python, SQL, R etc.) to manipulate data and draw insights from large data sets.
  • Experience with analytical big data technologies such as Tableau
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Experience in shopper marketing, retail/retailer, and/or e-commerce preferred.
  • 5-7 years of experience building data warehouse models, and is familiar with the following software/tools:
                o Snowflake
                o SqlDBM
                o Power BI
                o Databricks
                o Azure Analysis Services
Personal Characteristics and Attributes:
  • Strong analytical and complex problem-solving skills.
  • Creative thinker with the ability to visualize potential data metrics that can be derived from multiple data sources.
  • Excellent written and verbal communication skills for coordinating across teams.
  • Ability to communicate complex information to technical and non-technical stakeholders.
  • A drive to learn and master new technologies and techniques.
  • Senior technology expert who has worked with global teams.
  • Ability to thrive in an extremely fast paced, client‐centric environment including effectively managing ambiguity, multiple priorities and stretch goals.
Thanks & Regards.
Mario Ajai
Manager – Staffing Services
Managed Services – Digital Transformation
120 Wood Avenue South, Suite 608, Iselin, NJ  08830
Desk: 732-302-0911 Ext: 230 Cell – 732-391-1658
E- mail: mario.ajai@hexacorp.com

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