Senior Manager-Data Engineering

Summary

Join Adtalem Global Education as a Sr. Manager, Data Engineering in Chicago, IL (or remotely from anywhere in the US)! Design and build reliable datasets, metrics, and data pipelines. Manage cloud technology and database modeling. Lead a high-performing data engineering team. Shape data acquisition and leverage. Define and manage SLAs for data sets and processes. Collaborate with product managers, analysts, and data scientists. Utilize various tools and technologies (PowerShell, Python, Cognos, Tableau, Power BI, GCP, Snowflake, Informatica Cloud). Implement IaaS and PaaS solutions. Assist in troubleshooting and documenting solutions. Mentor and inspire team members. Propel the business towards data-driven decision-making.

Requirements

• Master’s degree in Information Technology, Computer Science, or a related field of study plus 2 years of commercial software development experience
• 2 years of experience with IaaS and PaaS implementations for system and database architecture, data solutions design and administration, release processes, and project planning
• 2 years of experience with solution design and implementation across serverless cloud data warehouse and data ingestion strategies including Google Cloud Platform (GCP), Snowflake, and Informatica Cloud
• 2 years of experience with cloud technology stack, cloud infrastructure, and cloud database modelling techniques including push-down optimization, table partitioning, and clustering techniques
• 2 years of experience with designing and building data warehousing ETL using SSIS, Informatica Cloud, and GCP services
• 2 years of experience with designing, building, and supporting automation techniques for data loads
• 2 years of experience with designing and building APIs for external teams
• 2 years of experience with PowerShell, VBScript, and Python
• 2 years of experience with Cognos, Tableau, and Power BI
• 2 years of experience with Azure DevOps, Rally Version One, GitHub, and SSCM
• 2 years of experience with Building GDPR and SOX data compliant

Responsibilities

• Design and build trusted, reliable, and timely datasets, metrics and data pipelines that are critical to company direction
• Manage cloud technology stack, cloud infrastructure, and cloud database modelling techniques including push-down optimization, table partitioning, and clustering techniques
• Build and lead a high-performing data engineering team in a hands-on technical capacity
• Responsible for shaping the acquisition, collection and leveraging of data
• Define and manage SLA's for all data sets and processes running in production
• Work closely with Product Managers, Analysts, Data Scientists to develop and own data-driven systems
• Utilize PowerShell, VBScript, Python, Cognos, Tableau, and Power BI
• Implement IaaS and PaaS for system and database architecture, data solutions design and administration, release processes, and project planning
• Design and implement solutions across serverless cloud data warehouse and data ingestion strategies including Google Cloud Platform (GCP), Snowflake, and Informatica Cloud
• Assist development team in troubleshooting, coding, testing, implementation, and documenting solutions
• Support, grow, mentor and inspire new and existing team members
• Be a key leader of the Data and Analytics team, working to propel the business towards being more data-driven

Benefits

• Health, dental, vision, life and disability insurance
• 401k Retirement Program + 6% employer match
• Participation in Adtalem’s Flexible Time Off (FTO) Policy
• 12 Paid Holidays
• Annual incentive program