Data Platform Architect

Duties and Responsibilities

Essential Functions:

• Defines target architecture, reference patterns, standards, and technical roadmaps for enterprise data platforms, including lake, lakehouse, warehouse, streaming, integration, and analytics capabilities.
• Designs platform operating models, environment and workspace strategies, provisioning approaches, and reusable platform services that support multiple business domains.
• Establishes security, identity, access, privacy, network, data protection, and information lifecycle patterns with enterprise architecture, cybersecurity, data governance, and infrastructure teams.
• Translates enterprise architecture standards and business requirements into operationally viable platform designs, architecture decisions, implementation guidance, and modernization plans.
• Guides the architecture of Databricks, cloud data services, orchestration, metadata, catalog, observability, and data movement capabilities that support governed enterprise data products.
• Defines engineering patterns for continuous integration and delivery, source control, automated testing, infrastructure and configuration practices, deployment, monitoring, and operational recovery.
• Leads architecture reviews and quality assurance for platform and data engineering solutions, identifying risks, dependencies, technical debt, and opportunities for reuse and simplification.
• Evaluates emerging platform technologies and recommends adoption, integration, or retirement decisions based on strategic fit, security, reliability, scalability, interoperability, and cost.
• Partners with Data Engineering, Platform Operations, Data Architecture, Cogito, analytics, and business-aligned delivery teams to support enterprise platform onboarding and adoption.
• Guides platform modernization and operational improvement initiatives, including workspace improvements, migration patterns, performance optimization, monitoring, and support readiness.
• Documents platform architecture, standards, reference implementations, decision records, service boundaries, dependencies, and operational requirements.
• Provides technical leadership, mentoring, and consultation while promoting common standards across the federated data and analytics operating model.

Common Expectations:

• Demonstrates commitment to WellSpan values, service excellence, security, privacy, responsible data use, and stewardship of enterprise information assets.
• Participates in architecture governance, planning, incident and problem reviews, roadmap development, and continuous improvement.
• Maintains current knowledge of cloud data platforms, platform engineering, healthcare data practices, security, governance, and emerging data and AI technologies.