Lead Data Architect WS

WellSense Health Plan

7d•$138,500 - $201,000•Remote

About The Position

The Lead Data Architect is an emerging technical leader with hands-on experience in all aspects of data architecture and infrastructure with a specific focus on creating and managing cloud-based data architectures. The ideal candidate will have at least 7 years of experience in advanced data analytics and cloud-based data management. Knowledge of health care data in general is preferred for this role. The ideal candidate will have a proven track record evaluating, recommending, and implementing solutions using modern infrastructures and architectures. The Lead Data Architect will drive the creation of enterprise data models and methods for the initial and ongoing sourcing into the data architecture. This includes contributing to the transition from WellSense’s current data warehouse capabilities to a new cloud-based data infrastructure. The Lead Data Architect will have advanced proficiency in the design and implementation of modern data architectures and concepts and modern data warehousing tools such as (but not limited to) Snowflake and DataBricks. This person will be a key player in WellSense’s efforts to aggregate and modernize all the health data and convert it into actionable insights and actionable analytics, and to implement new enterprise processes and technologies to ensure compliance to healthcare regulatory requirements. In addition, the Lead Data Architect will collaborate with their management and peers across the organization to leverage cross-functional data and to support decision-making. This role ensures the integrity, availability, and security of healthcare payer data, while also championing the use of data-driven insights to optimize operational efficiency and inform strategic decisions.

Requirements

Demonstrated success in developing and implementing the cloud-based data architecture for similarly-sized organizations.
Deep understanding of the process to migrate data from legacy data warehouses to cloud-based models.
Significant experience in creating data models for cloud-based architectures.
Deep knowledge of AWS as it relates to data management, data security, and availability.
Experience with tools such as Databricks and Snowflake and the development of operational, financial, and regulatory reporting.
Proven collaborator who can explain the role of data architecture to technical and non-technical stakeholders and be inclusive in solution development.
Excellent communication skills, including the ability to explain the benefits of new cloud approaches to peers with less experience in cloud-based architectures.
Ability to mentor and grow junior staff to more senior architecture positions.
Bachelor’s degree in Computer Science, Engineering, Science, or related field
8+ years of experience developing cloud-based enterprise data warehouse / lake solutions

Nice To Haves

Knowledge of health care data in general is preferred for this role.

Responsibilities

In collaboration with Senior Leadership, establish and drive WellSense’s overall enterprise data strategy, in line with the organization’s vision, leveraging best practices in cloud-based technologies. Take WellSense data and analytics capabilities to an entirely new level of scale, effectiveness, and sophistication by leveraging industry standards and frameworks.
Ensure data within WellSense repositories are of the highest level of quality to pass regulatory requirements. Work closely with data stewards and subject matter experts for continuous improvement of data quality and validate that data models support accurate and timely data delivery as appropriate.
Design and build robust, high-performance, and adaptable solutions within a cloud-based infrastructure that meet the business needs of WellSense.
Define the data architecture framework, standards, and principles, including modeling, metadata, security, reference data, and other components used for providing insight and data delivery to internal and external stakeholders.
Work closely with cross-functional peers to ensure data needs are understood and met, data is seamlessly integrated across systems, and insights are effectively translated into actionable strategies.
Ensure all data activities comply with healthcare industry regulations (e.g., HIPAA, HEDIS) and maintain the highest standards of data security at all layers of the architecture stack.
Stay updated with the latest industry trends, tools, and technologies in data management and analytics to ensure the organization remains at the forefront. Evaluate and leverage generative AI as an aid in providing insights into encounter data as well as its ability to reduce development time.