Kforce is a solutions firm specializing in technology, finance & accounting, and professional staffing services. Each year, we help more than 30,000 people find work. We partner with more than 3,000 companies, including a significant majority of the Fortune 500, to find solutions for their talent, team and project needs. At Kforce, we thrive on building lasting relationships and making a positive impact on the lives of all we serve. Our national network of 2,000+ associates support our ability to meet the needs of customers of all size. We are proud of the culture we've created. Our people enjoy a hybrid work environment where flexibility and choice are empowered by trust and technology. Our office occasional approach gives Kforcers the ability to achieve high performance levels while designing their best lives. Join the Kforce family and we will support you with expert training, innovative tools, and a team of great people. Together, we can achieve powerful results. At Kforce, We Love What We Do. We Love Who We Serve. SUMMARY: The Senior Manager, Data Engineering is responsible for managing the data engineering IT professionals who design, develop, maintain, and support data pipelines, data warehousing architects, data marts, data migration, data quality and ETL technologies and systems. ESSENTIAL DUTIES AND RESPONSIBILITIES: Architect and develop data pipelines to ingest and transform data into Azure Data Factory and Synapse. Employs project and time management techniques for the prioritization of medium and short-term goals thereby ensuring on time completion. Manages within established systems while seeking opportunities for improvement. Leads cross functional team meetings to review and evaluate updates in preparation for Sr. Management approval. Responsible for managing, mentoring, and growing the skills of the data engineering team members who design, develop, maintain, and support data warehousing and data mart technologies and systems. Leads the activities of data warehouse project teams in the design, development, and implementation of the data warehouse and ETL systems; and the configuration and auditing of the data warehouse to ensure quality control of data. Analyzes raw data, develops and maintains datasets to be used for BI delivery and visualization. Responsible for overseeing the development, operations, and maintenance of data warehouse environment, including organizational balance and system coherency between front-end desktop/client environment and data warehouse back-end processing functions. Provides guidance regarding the use of data warehouse systems, capability of systems to deliver information, and subject matter expertise regarding current systems and emerging technologies/methodologies. Assists the Sr Director of BI & Analytics in reviewing and selecting tools to add/replace into the data warehouse ecosystem. Ensures data engineering activities and deliverables for area(s) of responsibility are completed in line with business requirements and Firm objectives. Serves as the primary lead to migrate data from legacy systems to new systems, especially ERP. Evaluates and makes recommendations related to inter-and intra-departmental processes to identify and implement efficiencies and quality improvement measures. Supports collaboration, communication, coordination, and prioritization within the department and with systems integrators Participates and contributes on IT activities, projects, and tasks, in close collaboration with other BI teams. SUPERVISORY RESPONSIBILITIES: Yes. Data Warehouse Architect, .Net Developers and Third Parties