Principal IT Architect – Business Intelligence Engineering

MiniMed•Duluth, GA

4d•$140,000 - $160,000•Hybrid

About The Position

Responsible for the design, development, and implementation of end-to-end enterprise reporting and analytics solutions. Serve as a technical and strategic expert in designing data models, integrating multiple data sources, and enabling data-driven decision-making through scalable Business Intelligence (BI) platforms. Collaborate with business stakeholders, data engineers, and developers to translate business requirements into technical specifications and ensure high-quality data solutions. Leverage various BI tools to include Power BI, Tableau, Qlik, and Looker. Design and implement various enterprise data models using star/snowflake schemas, and reporting databases. Utilize Cloud data platforms to include Snowflake, Azure, AWS Redshift, PostgreSQL, and Databricks. Utilize various query languages to include SQL, Data analysis Expression (DAX), Power Query M-code, Multidimensional Expressions (MDX), and Python. Responsible for the integration of data from Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), and other cloud-based platforms including SAP and Salesforce. Responsible for Data governance, security models, and compliance standards to include Health Insurance Portability and Accountability Act (HIPAA) and European General Data Protection Regulation (GDPR). Leverage various Extract, Transform, and Load (ETL) tools to include Informatica, Azure Data Factory, and Data Built Tool (DBT). Responsible for Metadata coordination and BI cataloging tools to include Atlan, Alation, and Collibra. Position is required to be onsite in Duluth, GA, at least 3 days per week.

Requirements

Master’s degree in Information Technology, Computer Science, Data Science or related technical or engineering field.
Four (4) years of experience as a Data architect, software engineer or related occupation.
At least four (4) years’ experience with Power BI, Tableau, Qlik, and Looker.
At least four (4) years’ experience designing and implementing enterprise data models, star/snowflake schemas, and reporting databases.
At least four (4) years’ experience with Cloud data platforms to include Snowflake, Azure, AWS Redshift, PostgreSQL, and Databricks.
At least four (4) years’ experience with SQL, DAX, Power Query M-code, MDX, and Python.
At least four (4) years’ experience integrating data from ERP, CRM, and cloud-based platforms to include SAP and Salesforce.
At least four (4) years’ experience with Data governance, security models, and compliance standards to include HIPAA and GDPR.
At least four (4) years’ experience with ETL tools to include Informatica, Azure Data Factory, and DBT.
At least four (4) years’ experience with Atlan, Alation, and Collibra.

Responsibilities

Design, development, and implementation of end-to-end enterprise reporting and analytics solutions.
Serve as a technical and strategic expert in designing data models, integrating multiple data sources, and enabling data-driven decision-making through scalable Business Intelligence (BI) platforms.
Collaborate with business stakeholders, data engineers, and developers to translate business requirements into technical specifications and ensure high-quality data solutions.
Leverage various BI tools to include Power BI, Tableau, Qlik, and Looker.
Design and implement various enterprise data models using star/snowflake schemas, and reporting databases.
Utilize Cloud data platforms to include Snowflake, Azure, AWS Redshift, PostgreSQL, and Databricks.
Utilize various query languages to include SQL, Data analysis Expression (DAX), Power Query M-code, Multidimensional Expressions (MDX), and Python.
Responsible for the integration of data from Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), and other cloud-based platforms including SAP and Salesforce.
Responsible for Data governance, security models, and compliance standards to include Health Insurance Portability and Accountability Act (HIPAA) and European General Data Protection Regulation (GDPR).
Leverage various Extract, Transform, and Load (ETL) tools to include Informatica, Azure Data Factory, and Data Built Tool (DBT).
Responsible for Metadata coordination and BI cataloging tools to include Atlan, Alation, and Collibra.