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The Principal Enterprise Data Architect is responsible for the end-to-end design and architecture of the L.A. Care Enterprise Data platform. Develops practical road maps for the Enterprise Data Platform. Defines the overall core Enterprise Data platform architecture, including Tools and technologies, Extract, Load, Transform/Extract, Transform, Load (ELT/ETL) processes, logical and physical data models and recommends appropriate solutions and approaches to support the implementation of the roadmap. Partners with the Business Intelligence (BI) and data architects to ensure logical and physical data models support the analytic and non-analytic needs of the business. Provides technical and architectural guidance to projects and teams, ensuring new initiatives enable effective management. Collaborates with key business users to identify needs and opportunities for improved data management, Data Governance and delivery. Provides expert level technical knowledge and business support to the team.
Job Responsibility
Collaborate with business and Information Technology (I.T.) partners and translate business strategic needs into architectural requirements and provide direct technical lead expertise in implementing data solutions
Technical solution review of Enterprise Data Platform architecture
Develop solutions to manage end to end life cycle of enterprise data management including enabling Data Integrations, BI and Analytics, Data Governance and Artificial Intelligence (AI) Solutions
Develop logical and physical models within the different data layers of the Enterprise Data Platform
Design data pipelines and solutions that are interoperable and reusable driving delivery efficiency and enable self-service capabilities
Design Data and Integration solutions specific to Healthcare Interoperability and integration with analytics and non-analytics applications
Serve as a technical lead in aligning architecture capabilities with business strategies with respect to goals and objectives
Develop, maintain and communicate reference architectures and architectural roadmaps for overall transparency and alignment
Define roadmap and strategies for integration, data, BI and analytics, Data Governance and AI application architectures
Demonstrate and obtain business and technical buy in to proposed solutions
Perform other duties as assigned
Requirements
Bachelor's Degree in Computer Science or Related Field
At least 7 years of experience in the design and building of Cloud Native Enterprise Data platforms
Hands-on experience working on at least one of the Cloud native data platforms such as Snowflake, Databricks or similar technologies
Experience working with business stakeholders and leadership to translate business requirements to actionable data solutions
Experience implementing data solutions supporting AI capabilities at an enterprise scale
Experience working on all aspects of data management including data governance, data catalogs, metadata management, reference data management and master data management
Excellent understanding of Cloud technologies, Data platforms, Data Transformation tools, data modeling, SQL and ETL/ELT
Ability to facilitate meetings and delegate responsibilities
Ability to functionally understand the enterprise sources of data and end to end data ecosystem across the organization
Nice to have
Master's Degree
SnowPro Advanced Architect or similar certification