Senior Data Architect

Humana•Washington, DC

3d•Onsite

About The Position

Become a part of our caring community and help us put health first In this Senior Data Architect role, you will meaningfully contribute to data architecture, data integration, and interoperability for CenterWell's OneHome team. You will ensure data solutions are both technically robust and aligned with business and user needs. You will also establish and enforce data standards, models, and governance, while also prioritizing enhancements and new features based on business impact. Additionally, you will help improve communication across engineering, business stakeholders, and end-users to accelerate the development and deployment of high-quality data products. As a Senior Data Architect, you will spend approximately 60% of your time with data architecting and modeling related tasks and approximately 40% of your time coding. As main components of the tech stack, you will work with SQL Server and Snowflake. You will report to an Associate Director, Technology Solutions. The Senior Data Architect works in all data environments which includes data design, database architecture, metadata and repository creation. The Senior Data Architect work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

Requirements

Bachelor's Degree in Computer Science, Information Technology or related field
Experience with Big Data Integration & Analytics
Experience with healthcare data
Experience with Snowflake

Nice To Haves

Master's Degree

Responsibilities

Use data architecture, data integration, and interoperability best practices to make data available for analytics teams.
Work with CenterWell data and Humana membership data
Optimize data loading, storing, modeling, and pipelining
Develop blueprints for all data repositories, evaluating hardware and software platforms, and integrating systems.
Translate needs into long-term data architecture solutions.
Design and build dimensional database schemas.
Evaluate reusability of current data for separate analyses.
Conduct data sheering to rid the system of old, unused or duplicate data.
Review object and data models and the metadata repository to structure the data for better management and quicker access.
Begin to influence department's strategy.
Exercise considerable latitude in determining goals and approaches to assignments.
Use your skills to make an impact