Data Engineering Manager, Workforce Solutions

Data Engineering Manager

Are you passionate about standardizing data platforms and automating data engineering to drive analytics and reporting? Do you excel in dynamic, fast-paced environments and find joy in converting data into actionable insights? Are you adept at implementing data governance practices, defining data access and quality standards and using AI to modernize analytics platforms? Do you enjoy leading engineers to innovate at speed to deliver scalable analytics solutions? If so, then the Amazon Workforce Solutions organization has an exciting opportunity for you! As a Data Engineering Manager in Workforce Solutions, you will be responsible for modernizing one of Amazon's largest data warehouses serving business intelligence, data science, AI and product management customers globally. Your role will involve designing, implementing, and supporting scalable solutions for metadata management, data pipeline orchestration, ETL, data modeling and data visualization with the best tools available from AWS – including Sage Maker Unified Studio, Redshift, Glue, S3, IAM, Cloudwatch, and Apache Airflow. You should have excellent business and communication skills to collaborate with business owners, product teams, data science teams and technical leaders to gather infrastructure requirements, design data infrastructure, and build data pipelines and datasets to meet business needs. Key job responsibilities include leading a team of Data Engineers and Business Intelligence Engineers solving problems for Workforce Solutions customers. You should be an expert in the architecture of data warehousing solutions for the enterprise using multiple platforms. You should excel in the design, creation, management, and business use of extremely large data sets. You will be responsible for leading designs and deliver scalable ETL processes in the data lake platform to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making.