Senior Data Manager – DATABRICKS

This is a fully remote position, open to applicants in United States.

📋 Description

• Acquire, cleanse, and develop datasets from both internal and external sources to facilitate business analysis and reporting.

• Obtain, validate, store, and safeguard data.

• Ensure data is accessible, reliable, and timely for users.

• Create and implement data architectures, policies, practices, and procedures for comprehensive enterprise data lifecycle management.

• Collaborate with business and IT departments to comprehend user requirements.

• Convert business needs into technical data specifications.

• Recognize opportunities for process enhancements.

• Coordinate with other teams to address various data requirements.

• Manage and complete projects within the designated timeframe and scope.

• Prepare data for reporting and analysis, including visualizations.

• Conduct in-depth data analysis to extract insights that influence business outcomes and decisions.

• Document processes and perform problem analysis.

• Lead projects through stages of design, coding, code review, and deployment.

• Conduct demonstration meetings with clients to showcase project progress.

• Provide architectural guidance on Data Warehouse, Data Lake, and Modern BI architecture concepts and technologies.

⛳️ Requirements

• Bachelor’s degree.

• At least 7 years of technical experience in data analysis utilizing ETL tools and developing ETL solutions.

• 3 years of experience with Databricks.

• Experience in a SQL environment with extensive knowledge of SSMS and SSIS.

• Significant experience developing stored procedures and dynamic SQL.

• Strong understanding of cloud technologies, including Azure Synapse Analytics, Snowflake, and/or related cloud technologies.

• Robust knowledge of Power Platforms, such as Power BI, Power Automate, and Power Apps.

• Experience simplifying complex data to make it more accessible and understandable for leaders to derive insights.

• Proven experience leading projects through the entire lifecycle, from design to coding, code review, and deployment.

• Proficient in root cause analysis.

• Demonstrated capability to solve problems and offer solutions for business or data challenges.

• Strong presentation skills for conducting demonstration meetings with clients to illustrate project progress.

• Experience working with tight deadlines and skills in ensuring customer satisfaction.

• Preferred experience in healthcare or managed care.

• Master’s degree in Statistics, Mathematics, Computer Science, Engineering, or a related field is preferred.

• Experience in implementing scalable and maintainable Dimensional Data Models, including Azure Data Factory and automation of data architectures, is preferred.

• Preferred experience in providing architectural guidance on Data Warehouse, Data Lake, and Modern BI architecture concepts and technologies using Azure Synapse Analytics and/or Databricks.

• This position is not eligible for work visa sponsorship.

• Minimum home internet speed of 25 Mbps download and 10 Mbps upload is required.

• Ability to work from a designated space without ongoing interruptions to protect member PHI/HIPAA information.

🏝️ Benefits

• Bonus incentive plan based on company and/or individual performance.

• Medical benefits.

• Dental benefits.

• Vision benefits.

• 401(k) retirement savings plan.

• Paid time off.

• Company holidays.

• Personal holidays.

• Paid parental leave.

• Paid caregiver leave.

• Short-term disability.

• Long-term disability.

• Life insurance.

• Occasional travel to Humana offices for training or meetings.

• Requirement for a dedicated home workspace to protect member PHI/HIPAA information.

• Home internet service requirements for remote work.