Job Description:

Avanade Inc. is seeking a Data Engineering Manager in Columbus, OH to partner with cross-functional teams to initiate, lead, and drive to completion client projects involving the transformation of enterprise data solutions. In this role, you will: lead and manage a team of data engineering professionals and cross-functional teams to design, develop and manage core data foundations, executive metrics and methodologies; create insightful automated dashboards, data visualization, modern data pipelines, data streams, and data service Application Programming Interfaces (APIs) to track and extract useful business insights; analyze large-scale structured and unstructured data, develop deep-dive analyses and machine learning solutions to drive member value and customer success; craft the architectures, data warehouses and databases that support access and Advanced Analytics and bring them to life through modern visualization tools; act as a thought partner to senior leaders and executives to develop long-term roadmaps and strategy, prioritize/scope projects, provide recommendations, and evangelize data-driven business decisions in support of strategic goals; and provide technical guidance and mentorship to junior data engineers on analysis and design and lead code/design reviews. Periodic travel to client sites is expected. Must live w/in reasonable commuting distance of Columbus, OH.

Basic Qualifications:

The position requires at least a bachelor’s degree, or its foreign equivalent, in Computer Engineering, Computer Science, Applied Mathematics, Statistics, or Machine Learning, or closely related field, plus at least seven (7) years of experience as a Data Engineering Manager, or in a similar role in a technology or IT consulting environment. **Alternatively, in lieu of a bachelor’s degree and seven (7) years of experience, Avanade will accept no degree and a minimum of nine (9) years of experience as a Data Engineering Manager, or in a similar role in a technology or IT consulting environment.** A qualified applicant's experience must include: 7 years of experience performing data engineering, warehousing, publishing and visualization throughout the full data lifecycle; 6 years of experience defining ETL architecture and ETL process design; 6 years of experience performing end-to-end implementation of data warehousing analytics solutions built on MS or Azure platforms; 2 years of experience engaging as Technical Lead for teams of 6 or more consultants; 5 years of experience engaging as Project Lead for teams of 3-5 or more consultants; 5 years of experience developing analytics reporting solutions using Power BI, Qlik or Tableau; 2 years of experience with data ingestion tools including but not limited to Cosmos, DB, Azure, IoT, and Azure Logic Apps; and 5 years of experience using DPM specific tooling including: Spark, Python, Databricks, Azure Synapse, SQL Server, Azure Data Lake, and/or Azure Data Factory (ADF).

Candidates who are interested in this position should select “Apply” below.