Enterprise Architect (IT)

Enterprise Architect (IT) This role is part of the Enterprise architecture team which plays an integral role in building a holistic view and roadmap of the Company's technology strategy and process. An Enterprise Architect is an enterprise-wide expert with broad technical skills, deep industry knowledge, and unparalleled business acumen. The Enterprise Architect supports IT in developing value propositions that align with business strategies on digital transformation and cloud adoption. The Enterprise Architect is a subject matter expert in one or more categories that may include: business strategy, application architecture, data & information architecture. Enterprise Architects are expected to have strong communication and consultative approaches to engage with multiple teams including product management, engineering and other IT partners and define their transformation journey along with steps to get there. The following duties and responsibilities generally reflect the expectations of this position but are not intended to be all-inclusive. Collaborates with Product and IT Leadership to build strategic roadmap for platforms/systems supporting DaVita's strategic business units. Aligns IT strategy, investments and plans with DaVita's business goals and objectives. Effectively communicate IT strategy and vision with C-level executives, business leaders and IT leaders Develops and maintains enterprise architecture in alignment with the overall IT vision, supporting the information needs of the business and/or may manage and perform research and discovery activities, vet ideas, explore and validate emerging technologies, trends and possibilities relevant to strategic and technical direction, while supporting business innovation and playing the role of a change agent Partners with product and technology subject-matter experts to elicit and translate business requirements into technological solutions. Partners with Solution Architects to provide a consensus based scalable and adaptable architectural solution Develops and maintains policies, standards, and guidelines to ensure that a consistent framework is applied across the company. Manages and/or facilitates Architecture Review Boards to evaluate technologies, design patterns and solutions. Communicate and provide data architecture / business expertise to other associates during system development; ensure systems' data architecture is compatible with existing and future enterprise data architecture. Partner to develop strategies and roadmaps for AI & machine learning and other advanced analytics areas (e.g., natural language processing, ML platforms, data lakes) Create and articulate future state data platform vision via all the relevant architecture & design artifacts. Help validate these proposed future state architectures with proofs-of-concepts and/or MVPs. Provide technical expertise to design scalable data marts, data lake and data warehouse solutions, including addressing and resolving complex technical issues Provide formal technical guidance and informal assistance to engineering teams. Knowledge, Skills and Abilities: Demonstrated ability to collaborate with highly skilled technical individuals. Demonstrated ability to communicate ideas with Senior IT and business leadership Extensive experience in Data Architecture work, including executing at least 3 large scale Data platform modernization and/or Data Migration projects from inception to production. Several years of enterprise data integration and management experience working with Datawarehouse technologies, Data pipelines, and cloud data platforms Deep knowledge of GCP cloud data platform technologies Clear overall experience and industry knowledge: distributed systems, mobile, middleware APIs, highly available architectures, data/service virtualization, master data, data warehousing and enterprise reporting Working knowledge of microservices architecture & domain-driven architecture Proven track record in successfully implementing solutions using distributed streaming platforms such as Kafka Experience with event-based and message-driven distributed system Familiarity with Enterprise architecture methodologies such as TOGAF, including certification on TOGAF or similar methodology. Healthcare industry experience that fosters better requirements aligned to common standards and regulations (HL7, FHIR, CCDA, and HIPAA) is preferable Minimum Qualifications: Bachelor's degree in computer science, Data Science, Software Engineering or related discipline. 10+ years of information technology architecture experience. 5+ years of experience in an enterprise architecture leadership role, architecting complex enterprise solution either in a cloud environment or equivalent. 5+ years of experience of application design and development including using at least one of the object oriented languages such as .NET C#, Java and REST services 2-3 years of hands-on experience in architecting and designing data solutions leveraging GCP technologies like BigQuery, Dataflow, GCP Pub/Sub, Cloud Storage, Dataplex, Cloud SQL or Spanner 4+ years of enterprise data strategy development, data analytics 8+ years of deep solution architecture with focus on data technologies 2-3 years of working knowledge with modern data platforms like Snowflake, Databricks Working knowledge of BI analytics tools like Tableau, Looker Recent strong experience in AI/ML, Generative AI, Large Language Models (LLMs) Data modeling, Datawarehouse, data lake and DataMart architecture experience Experience with structured Enterprise Architecture practices, hybrid cloud deployments, and on premise-to-cloud migration deployments and roadmaps. Experience in driving solutions that map to the global target architecture, standards, and roadmaps in a distributed hardware, operating systems, and cloud computing Veracity