Senior Data Manager-Databricks

Become a part of our caring community   The Senior Data Manager acquires, cleans and develops datasets from internal and external sources to support business analysis and reporting. The individual will acquire, validate, store, protect, and adhere to processes around data to ensure the accessibility, reliability, and timeliness of the data for its users. The candidate will also be responsible for developing and executing data architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise. The ideal candidate will have: Ability to interact with business and IT departments in understanding user needs Able to translate the business needs to technical requirements in terms of data needs Be self-motivated and possess the ability to manage multiple priorities and meet deadlines. Possess the capacity to maintain confidentiality and work independently. Identifies opportunities for process improvements Coordinates with other teams to ensure all aspects of data needs are taken into account. Coordination and completion of projects on time and within scope Prepare data for reporting and analysis including visualizations to support business requirements. Experience in performing in-depth data analysis to derive insights that drives business outcomes and decisions. Exhibit strong written and verbal communication skills Be an innovative thinker with an innate curiosity around data Be self-motivated and possess the ability to manage multiple priorities and meet deadlines Experience in problem analysis and process documentation Use your skills to make an impact   Required Qualifications Bachelor’s degree Minimum 7 years of technical experience in data analysis using ETL tools and developing ETL solutions using SSIS, ADF, and/or DataBricks Experience working in a SQL environment with comprehensive knowledge of SSMS and SSIS Extensive experience developing stored procedures and dynamic SQL Strong working knowledge of Cloud Technologies (For example Azure Synapse Analytics, Snowflake and/or related cloud technology) and Power Platforms (Power BI, Power Automate, & Power Apps) Experience taking complex data and making it more accessible, understandable and usable for leaders to derive insights Experiencing leading projects through entire life cycle, from design, coding, code review and deployment Proficient in root cause analysis Demonstrated ability to problem solve and provide solutions for business or data issues Good presentation skills to conduct demonstration meetings with clients to show progress on projects Experience working with deadlines and skills in addressing customer satisfaction Preferred Qualifications Master's degree in Statistics, Mathematics, Computer Science, Engineering and/or related field Healthcare or managed care experience Experience implementing scalable and maintainable Dimensional Data Models to meet business objectives, including construction of Azure Data Factory and automation of data architectures implemented Experience providing architecture guidance on Data Warehouse, Data Lake and Modern BI architecture concepts and technologies using Azure Synapse Analytics and/or Databricks Additional information Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from Humana@myworkday.com with instructions on how to add the information into your official application on Humana’s secure website. Interview Format As part of our hiring process for this opportunity, we will be using an interviewing technology called HireVue to enhance our hiring and decision-making ability. HireVue allows us to quickly connect and gain valuable information from you pertaining to your relevant skills and experience at a time that is best for your schedule. WAH Internet Statement To ensure Home or Hybrid Home/Office employees’ ability to