Senior Data Architect / Data Engineer (Ref: 5601)
Location: Remote
Duration: 12 months
Mandatory qualifications:
- Four (4) or more years of relevant experience in authoring and monitoring data pipelines. Eight (8) years, if substituting bachelor’s or advanced degree for qualifying experience.
- Bachelor or advanced degree in computer science, engineering, information systems, math or technology-related field.
- Additional qualifying experience may be substituted for the required education on a year-for-year basis. Successful completion of a data engineering bootcamp plus an additional year of experience may be substituted for the degree requirement.
Additional Qualifications:
- Five (5) or more years of full-time equivalent (FTE) experience as a Senior Data Engineer in a lead role, responsible for modeling, architecting, developing, testing, deploying and supporting scalable, fault-tolerant data architectures to support enterprise decision making within Dimensional and other analytic data models (Data Warehouse, Data Mart)
- A minimum of four (4) years of extensive full-time equivalent (FTE) experience as a data pipeline engineer responsible for architecting, designing, developing/authoring, testing, deploying, monitoring and supporting scalable and fault-tolerant ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) solutions that move data – in near real-time and/or on a schedule - between on-premises and cloud infrastructure solution components using Microsoft SQL Server SSIS and Microsoft Azure Data Factory.
- A minimum of five (5) years of extensive full-time equivalent (FTE) experience architecting, designing, developing, testing, deploying and supporting data solutions within the Azure SQL, SQL MI, Azure Synapse, and/or Microsoft Fabric cloud platforms.
- A minimum of five (5) years of extensive full-time equivalent (FTE) experience developing solutions that include SQL scripting.
- A minimum of three (3) years of extensive full-time equivalent (FTE) experience developing analytic dashboards and reports within Microsoft PowerBI.
- A minimum of three (3) years of experience developing solutions that include Python components.
- A minimum of three (3) years of experience architecting, designing, developing, deploying, testing and supporting development of financial data analysis solution(s).
- A minimum of three (3) years of experience architecting, designing, developing, deploying, testing and supporting development of Healthcare Provider Network Adequacy analysis solution(s).
- A minimum of three (3) years of experience architecting, designing, developing, deploying, testing and supporting API driven bulk data integrations with Azure API Manager.
A minimum of two current Microsoft Certification(s) such as:
- Microsoft Fabric Analytics Engineer.
- Microsoft PowerBI Data Analyst.
- Microsoft Fabric Data Engineer.
- Microsoft Fabric Analytics Engineer.
- Microsoft Azure Data Enginee.
A minimum of one current Data Modeling Certification(s) such as:
- Microsoft Data Modeling in PowerBI.
- Certified Business Intelligence Leader (CBIL).
- Data Modeling Certification (DMI).
- CDMP Data Modeling Specialist (DMBOK).