Senior Data Manager-Databricks
Listed on 2026-07-18
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IT/Tech
Data Engineering, Data Analyst
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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.
IdealCandidate
- Ability to interact with business and IT departments in understanding user needs
- Able to translate business needs into 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
- Coordinates and completes projects on time and within scope
- Prepares data for reporting and analysis, including visualizations, to support business requirements
- Performs in‑depth data analysis to derive insights that drive business outcomes and decisions
- Exhibits strong written and verbal communication skills
- Is an innovative thinker with an innate curiosity around data
- Experiences problem analysis and process documentation
- Bachelor’s degree
- Minimum 7 years of technical experience in data analysis using ETL tools and developing ETL solutions using SSIS, ADF, and/or Data Bricks
- 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 (e.g., Azure Synapse Analytics, Snowflake) and Power platforms (Power BI, Power Automate, Power Apps)
- Experience simplifying complex data to make it more accessible, understandable, and usable for leaders
- Experience leading projects through the entire life cycle—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 project progress
- Experience working with deadlines and addressing customer satisfaction
- Master’s degree in statistics, mathematics, computer science, engineering, 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
- Experience providing architectural guidance on data warehouse, data lake, and modern BI architecture concepts using Azure Synapse Analytics and/or Databricks
Humana, Inc. offers competitive benefits that support whole‑person well‑being. Associate benefits include medical, dental and vision coverage, 401(k) retirement savings plan, paid time off, paid parental and caregiver leave, short‑term and long‑term disability, life insurance, and other opportunities.
Compensation40‑hour work week. The compensation range below reflects a good faith estimate of starting base pay for full‑time employment at the time of posting. The pay range may be higher or lower depending on geographic location and individual qualifications. $97,900 – $133,500 per year.
Eligible for a bonus incentive plan.
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. Humana also takes affirmative action in compliance with Section 503 of the Rehabilitation Act and VEVRAA, and bases all employment decisions only on valid job requirements.
This policy applies to all employment actions, including recruitment, hiring, promotion, transfer, demotion, layoff, and training.
Humana complies with all applicable federal civil‑rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity, or religion. Free language interpreter services are available. For more information, see Humana’s accessibility resources.
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