Senior Data Manager – Databricks

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

📋 Description

• Acquire, cleanse, validate, store, secure, and enhance datasets from both internal and external sources.

• Ensure data is accessible, reliable, timely, and adheres to data lifecycle processes.

• Design and implement enterprise data architectures, policies, practices, and procedures.

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

• Convert business requirements into technical data specifications.

• Identify areas for process enhancement.

• Work with various teams to fulfill all data-related needs.

• Manage and finalize projects within designated timelines and scope.

• Prepare data for reporting and analysis, including creating visualizations.

• Conduct thorough data analyses to extract insights that inform business decisions and outcomes.

• Oversee projects from initiation through the full lifecycle, including design, coding, code review, and deployment.

• Hold demonstration meetings with clients to present project developments.

• Offer architectural insights on data warehousing, data lakes, and contemporary BI technologies.

• Travel occasionally to Humana offices for training sessions or meetings.

⛳️ Requirements

• Bachelor's degree.

• At least 7 years of technical experience in data analysis utilizing ETL tools and developing ETL solutions with SSIS, ADF, and/or Databricks.

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

• Extensive background in developing stored procedures and dynamic SQL.

• Strong familiarity with cloud technologies such as Azure Synapse Analytics and Snowflake.

• Proficient in Power Platforms: Power BI, Power Automate, and Power Apps.

• Experience in making complex data accessible, understandable, and usable for leadership.

• Proven track record of leading projects through all phases, from design and coding to code review and deployment.

• Skilled in root cause analysis.

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

• Excellent presentation abilities for client demonstration meetings.

• Experience managing deadlines while ensuring customer satisfaction.

• Ability to work independently, juggle multiple priorities, and meet deadlines.

• Commitment to maintaining confidentiality.

• Preferred: Master's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field.

• Preferred: Experience in healthcare or managed care.

• Preferred: Experience in implementing scalable and maintainable dimensional data models.

• Preferred: Experience with Azure Data Factory automation and data architecture implementation.

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

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

• Ability to work from a dedicated space without interruptions to safeguard 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.

• Home or Hybrid Home/Office telephone equipment provided.

• Internet expense reimbursement for employees working from home in California, Illinois, Montana, or South Dakota.

• Flexibility in scheduling HireVue interviews.