Data Warehouse Manager

Key Responsibilities Manage a team of colleagues and contractors, providing resource allocation, coaching and development. Understand and translate the technical design from the Data Architect team into implemented physical data models that meet data governance, enterprise architecture and business requirements for data warehousing. Manage data within the data warehouse to ensure efficiency of the platform. Work with operational data and data acquisition teams to manage incoming sources and the downstream systems to understand and support their needs for reporting and analytics. Collaborate with key partners to prototype and recommend accurate data solutions in embracing new technologies. Remain abreast of technology developments and proactively align the future state goals with strategic business goals. Develop and maintain a technology roadmap for the aligned data platforms, including execution of strategic, tactical, and continuous improvement (CI) initiatives to further enhance the platform. Maintain stable operations, ensuring operational metrics are proactively managed and reported on. Basic Qualifications Bachelor’s degree 7+ years of experience as a technology manager for data warehouse teams Preferred Qualifications 7+ years in an IT environment Experience implementing cloud and enterprise data solutions Proficiency in AWS data technologies such as Lambda, S3, EC2, IAM rules. Able to work cross functionally and discuss technical concepts with both technical and nontechnical audiences of varying seniority Strong organizational skills with demonstrated ability to build and manage a high-performing team, work with partners to set and meet business service level agreement levels, plan and deliver work to expectations. Strong communication and interpersonal skills for interacting and collaborating with developers, analysts and business colleagues throughout the organization. Knowledge and experience with DevOps practices, continuous delivery, and infrastructure as code 5+ years using ETL / data movement tools (AWS Glue, Informatica, IBM Infosphere) Experience in one or more programming language (Python, Java, Scala, C/C++) Ability to evaluate, prototype, and recommend emerging Cloud data technologies and platforms from open source or vendors. Relevant certification in public cloud services (e.g., AWS Certified Database - Specialty and AWS Certified Data Analytics - Specialty) is highly desirable Experience with data governance and data management approaches, including data quality.