DataBricks Solutions Architect
Detroit, Michigan, United States of America
Contract
2 weeks ago
Key skills
PythonSQLRMachine LearningData EngineeringAnalyticsTableauDomoDatabricksData MiningCommunicationSales
About this role
DataBricks Solutions Architect in Detroit MI onsite
About You:
You are passionate about crafting and presenting analytical solutions for clients
Have experience with DataBricks, data management, and data engineering technologies
Have successfully implemented technical solutions across various domains
What you ll do:
DataBricks Solutions Architect plays a crucial role in crafting client solutions and supporting the pre-sales cycle.
This senior-level individual contributor role entails developing proof-of-concepts and staying up-to-date with the latest trends in data management and engineering.
Reporting to the Senior Director of Data Engineering, you will propel growth and solution opportunities for potential and current clients.
Research and apply existing data management and engineering tools
Broaden our range of services by incorporating technologies such as DataBricks and reporting platforms like Tableau, Domo, and PowerBI.
Use large data sets to identify optimization opportunities and test advanced models
Apply various data mining and analysis methods, develop models, and build simulations
Assist in the pre-sales process by comprehending client business objectives and identifying how data-driven insights can help accomplish them
Collaborate with a wide range of partners and functional teams
Regularly meet with clients to offer mentorship on new service offerings and capabilities
What you ll need:
Undergraduate degree. 15+ years of experience in information technology, analytics, or data science, or equivalent
Proven problem-solving skills with a focus on client consulting
Experience with statistical programming languages (R, Python, SQL) to manipulate data and derive insights
Proficiency in DataBricks and reporting software
Knowledge of machine learning techniques (clustering, ensemble methods, neural networks)
Strong understanding of statistical techniques and concepts (regression, distributions, statistical tests)
Excellent communication skills for coordinating across teams and presenting to clients