Senior Data Manager (Databricks) - Data Architecture Lead

Humana

United States

Remote

USD 98,000 - 134,000

Full time

3 days ago
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Benefits offered by this job

Medical, dental and vision benefits
401(k) retirement savings plan
Paid time off and holidays
Disability and life insurance

Job summary

The Senior Data Manager at Humana acquires, cleans and develops datasets from internal and external sources to support business analysis and reporting. You will implement data architectures and governance to ensure timely, reliable data for enterprise users, and lead data lifecycle practices across teams.

You will collaborate with IT and business partners to translate needs into data requirements, develop automated ETL solutions, and drive insights using modern BI and cloud technologies such as

Qualifications

  • Bachelor's degree required; advanced degree preferred.
  • 7+ years in technical data analysis with ETL experience.
  • 3+ years using DataBricks.
  • Strong SQL skills with SSMS/SSIS.
  • Experience with cloud data warehouses (Azure Synapse, Snowflake).
  • Proficient in Power BI and related Power Platform tools.
  • Ability to translate business needs into data requirements.

Responsibilities

  • Acquire, clean and develop datasets from internal and external sources.
  • Develop data architectures, policies, practices and procedures.
  • Ensure data accessibility, reliability and timeliness for users.
  • Prepare data for reporting and analysis including visualizations.
  • Lead lifecycle management of data and projects end-to-end.
  • Collaborate with IT and business units to meet data needs.

Education

Bachelor's degree
Master's degree in Statistics/Math/CS/Engineering

Tools

DataBricks
SSMS
SSIS
Azure Synapse Analytics
Snowflake
Power BI
Power Automate
Power Apps

Job description

The Senior Data Manager at Humana acquires, cleans and develops datasets from internal and external sources to support business analysis and reporting. You will implement data architectures and governance to ensure timely, reliable data for enterprise users, and lead data lifecycle practices across teams.

You will collaborate with IT and business partners to translate needs into data requirements, develop automated ETL solutions, and drive insights using modern BI and cloud technologies such as

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