Federal Health Data Architect - Remote

Overview

Livanta is the largest healthcare quality improvement organization in the United States and trusted adviser to the Centers for Medicare and Medicaid Services (CMS). We have a unique understanding of beneficiaries and have developed programs that improve beneficiary outcomes, increase satisfaction, and drastically reduce readmissions.

With technology at its core, Livanta has built a portfolio of telehealth, data analytics, and tracking mechanisms that position it to inspire a better healthcare system that connects beneficiaries, providers, and payers to improve health outcomes, increase efficiency, and manage costs.

The Data Architect will be responsible for designing, creating, deploying, and managing our company's data architecture. This role requires a deep understanding of data management, including data modeling, data access, and data storage techniques, and the ability to translate business requirements into secure, scalable, and reliable database systems.

In Short

• Define and implement data strategies that support enterprise business needs and objectives.
• Design and construct large relational databases/ warehouse, and integrate new systems with existing warehouse structure, and refine system performance and functionality.
• Develop data models for applications, metadata tables, and supporting relational database structures.
• Design and implement modern data architectural frameworks to support evolving business landscapes and diverse customer needs i.e. Data Mesh, Fabric, and Lake/ Lakehouse.
• Oversee and be hands-on with orchestrating and configuring large scale data pipelines to curate diverse data sets.
• Oversee the integration of new data management technologies and software engineering tools into existing structures.
• Ensure architecture will support the requirements for privacy, security, and regulatory compliance.
• Provide guidance and support to data management teams and collaborate with IT staff and business units to determine data needs.
• Build, lead, and inspire high-performing data team, fostering a culture of ownership, learning, and collaboration.

Requirements

• Minimum of 5 years of experience as a Data Architect, Data Scientist, Data Engineer, or similar role.
• Extensive experience with database management systems, online analytical processing (OLAP), and ETL (Extract, transform, load) frameworks.
• Knowledge of programming languages like SQL, R, Python, or Scala.
• Demonstrated knowledge implementing common and modern data architectural frameworks i.e. (Data Mesh, Fabric, Lakes, Lakehouses, etc.).
• Experience with cloud technologies, particularly AWS (e.g., S3, Redshift, Glue, Lambda, Athena).
• Demonstrated experience with big data technologies such as Apache Spark, Databricks, or similar.
• Familiarity with data visualization tools and data migration methods.
• Proven analytical skills and the ability to tackle issues that may arise from complex data management.
• Strong leadership and communication skills to effectively manage teams and interact with stakeholders.

Benefits

• Healthcare industry experience and familiarity with healthcare standards and regulations (i.e. HIPAA, FHIR, HL7) is a plus.
• Databricks Certifications like Data Engineering or Solution Architect is a plus.
• AWS Solution Architect is a plus.