DATA ARCHITECT (AZURE CLOUD SERVICES)

As a member of the Data Engineering team, you’ll have access to the research, knowledge, and tools to create leading-edge solutions across Avanade’s Business Intelligence practice.
The role of Data Engineer is perfect for ambitious technologists passionate about working with the latest Microsoft cloud technology and Microsoft experts.
Our clients look to us for innovation, which means you’ll have early access to the newest Microsoft technologies so you can master them and stay ahead of the curve.
ogether we do what matters! 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 (domestic and international) is expected up to 80% of the time.
Must live w/in reasonable commuting distance of Carmel, IN.#LI-DNI Basic Qualifications.
he position requires at least a bachelor’s degree, or its foreign equivalent, in Engineering (Any), 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.
A qualified applicant’s experience must include.
7 years of experience performing data engineering or warehousing, publishing, and visualization throughout the full data lifecycle; 7 years of experience defining ETA or ETL architecture and ETL process design; 4 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; 4 years of experience developing analytics reporting solutions using Power BI, Qlik or Tableau; 4 years of experience with Cosmos, DB, Azure SQL DB, Qlik Replicate, MS SQL Server, and MS SSAS; and 4 years of experience using DPM specific tooling including.
Spark, Python, Databricks, Azure Synapse, SQL Server, Azure Data Lake, and/or Azure Data Factory (ADF).