Senior Data Manager - Databricks & Data Architecture

Humana, Inc.; Boise (ID); Remote; USD 98,000 - 134,000; Full time

Job summary

Humana, Inc. is seeking a Senior Data Manager to acquire, clean and develop datasets for business analysis and reporting. You will manage data lifecycles, validate data, and implement architectures and policies to ensure reliability and accessibility across the enterprise.

The role emphasizes translating business needs into technical data requirements, driving data solutions, and collaborating with IT and business teams to deliver timely insights and robust data governance.

Qualifications

• Bachelor’s degree required.
• Minimum 7 years of technical experience in data analysis with ETL.
• At least 3 years of Experience using DataBricks.
• Experience in SQL with SSMS and SSIS.
• Strong knowledge of Cloud technologies (Azure Synapse, Snowflake) and Power Platform.
• Ability to translate business needs to data requirements and drive solutions.
• Experience leading projects through full life cycle and problem solving.

Responsibilities

• Acquire, clean and develop datasets from internal and external sources.
• Validate, store and protect data ensuring accessibility and timeliness.
• Develop and execute data architectures, policies and procedures.
• Prepare data for reporting and visualizations to support business needs.
• Lead projects from design to deployment and review code changes.
• Coordinate with business and IT to understand user needs.
• Deliver data that leaders can use to derive insights and actions.

Skills

ETL tools

Data analysis

DataBricks

SQL

SSMS

SSIS

Azure Synapse Analytics

Snowflake

Power BI

Power Automate

Power Apps

Azure Data Factory

Education

Bachelor’s degree

Master's degree

Tools

SSMS

SSIS

Azure Data Factory

Job description

Humana, Inc. is seeking a Senior Data Manager to acquire, clean and develop datasets for business analysis and reporting. You will manage data lifecycles, validate data, and implement architectures and policies to ensure reliability and accessibility across the enterprise.

The role emphasizes translating business needs into technical data requirements, driving data solutions, and collaborating with IT and business teams to deliver timely insights and robust data governance.