Title: Sr. Azure Data Engineer/Architect
Type: FULL TIME/DIRECT HIRE POSITION- - eligible applicants must be a US Citizen, Green Card/Permanent Resident.
Travel: While this position is remote, travel to headquarters in Tampa, FL is required for final round interviews, if selected orientation and training and as needed for quarterly meetings.
PLEASE NOTE: IMPORTANT
Locations for Remote Consideration: Pennsylvania, Massachusetts, Arizona, Washington, Illinois, Florida, Georgia, North Carolina, Tennessee, Hawaii, Texas, Virginia, Colorado
The Azure Data Engineer is responsible for designing and implementing Azure Big Data and BI solutions using the Microsoft Azure platform.
- In this role you will work in the design of the architecture including data architecture, data governance, data modeling and design, data security, metadata management, data integration, data standards, data quality, and data warehousing as well as have extensive experience as an azure data engineer including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Data Bricks, Azure PowerShell, Azure Stream.
- Ten plus years industry experience with at least 5 years working with Azure
- Azure cost modeling
- Experience working with multi-tenant Azure applications
- Advance knowledge of data security and standards
- Data Modeling: Proficiency in designing and implementing data models
- Experience performance tuning
- Data Warehousing: Hands-on experience with data warehousing solutions, particularly in Azure, including performance optimization and cost management.
- Programming Languages: Proficiency in programming languages such as Python and SQL
- ETL/ELT Processes: Strong experience in building and managing ETL/ELT pipelines using Azure Data Factory or similar tools.
- DevOps: Experience with CI/CD pipelines, version control (Git), and infrastructure as code (IaC) using tools like Azure DevOps and Terraform.
- Desired certifications in Azure including Data Engineer Associate, Azure Solutions Architect and other relevant certifications in data engineering and cloud computing
- Design and develop ML model execution pipelines using Azure Databricks