Data Platform Architect
Key Skills for This Role
Full Job Posting
Qualifications
- Qualifications Minimum Education:
- High School Diploma or GED Required
- Work Experience:
- 10+ years Required
- Courses and Training:
- Databricks Data Engineer Associate/Professional or equivalent cloud data certification Upon Hire Preferred
- Microsoft Power BI Data Analyst Associate or equivalent BI certification Upon Hire Preferred
- Knowledge, Skills, and Abilities:
- Advanced knowledge of enterprise data platform architecture, data lakes, lakehouse and warehouse designs, distributed computing, real-time data distribution, integration, metadata, and platform operating models
- Proficiency designing modern cloud data architectures using Azure, AWS, or Google Cloud and platforms such as Databricks, Snowflake, Apache Spark, Kafka, Hadoop, Oracle, relational databases, and NoSQL technologies
- Strong understanding of security and access architecture, privacy, networking, identity, encryption, secrets management, data protection, governance, catalog capabilities, and enterprise risk controls
- Knowledge of platform engineering practices including environment and workspace strategy, continuous integration and delivery, source control, automated testing, observability, monitoring, reliability, and disaster recovery
- Ability to create architecture roadmaps, standards, reference patterns, decision records, technical designs, and reusable services that simplify the technology landscape and align platform capabilities with business needs
- Ability to evaluate traditional and emerging data and AI technologies, identify architectural tradeoffs, and recommend solutions based on strategic fit, interoperability, scalability, reliability, security, readiness, and cost
- Benefits Offered:
- Comprehensive health benefits
- Flexible spending and health savings accounts
- Retirement savings plan
- Paid time off (PTO)
- Short-term disability
- Education assistance
- Financial education and support, including DailyPay
- Wellness and Wellbeing programs
- Caregiver support via Wellthy
- Childcare referral service via Wellthy
Responsibilities
- 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.
- Essential Functions:
Preferred Qualifications
- Databricks Data Engineer Associate/Professional or equivalent cloud data certification Upon Hire Preferred
- Microsoft Power BI Data Analyst Associate or equivalent BI certification Upon Hire Preferred
About WellSpan York Hospital
Integrated health system serving central Pennsylvania and northern Maryland.
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