The Cloud Data Architect is responsible for design and implementation of scalable enterprise-wide data architecture. The Cloud Data Architect optimizes data performance and accessibility, and ensuring data quality, integrity and security.
This position is full-time remote. Selected candidate must reside in North Carolina and be willing to travel to the home office (Morrisville, NC) for onsite team meetings as needed.
Responsibilities & Duties
Data Architecture Design and Modelling
- Lead adoption of modern data architecture patterns and cloud-native solutions
- Develop enterprise data management strategies including data lake/warehouse implementations, data movement, and data services
- Enforce data quality, security, and consistency standards across enterprise data platforms
- Establish data access patterns (serving layers, semantic models, APIs) to optimize downstream analytics and reporting
- Participate in business analysis activities to elicit data product requirements
Enterprise Data Platform Strategy
- Lead adoption of modern data architecture patterns and cloud-native solutions
- Define future-state data architecture roadmaps aligned to organizational strategy and modernization initiatives
- Develop enterprise data management strategies including data lake/warehouse implementations, data movement, and data services
- Enforce data quality, security, and consistency standards across enterprise data platforms
Data Engineering Enablement
- Define reference architectures, coding standards, and reusable patterns for data engineering teams
- Review and approve solution designs to ensure adherence to enterprise data architecture standards
- Provide technical mentorship and design guidance to engineers and analysts
- Data Governance & Security Participate in data governance council and provide input on data standards and policies to ensure data quality, security, and compliance
- Collaborate with security and compliance teams to implement data classification, encryption, access controls, and audit logging
- Ensure data architectures comply with HIPAA, and organizational data privacy standards
Stakeholder Collaboration & Communication
- Capture end-user requirements and align technical solutions to strategic business objectives
- Translate business needs into scalable, secure, and well-governed data architecture solutions
- Provide architectural expertise and leadership guidance to data engineering teams
Minimum Requirements
Education & Experience
Required:
Bachelor’s degree in computer science or related field and at least five (5) years of experience working as a Cloud Data Architect with direct involvement and responsibilities for architecting an enterprise-scale data Lakehouse or data warehouse on a public, private or hybrid cloud platform, preferably in a healthcare setting.
Microsoft Certified Databricks Data Engineer Professional or comparable technical certification is preferred at the time of hire and must be obtained within 12 months of employment if not already held.
Preferred:
Microsoft Certified Azure Security Engineer Associate (AZ-500) or comparable technical certification is preferred.
Knowledge, Skills, & Abilities
- Architecting enterprise-scale multi-layer data platform on a public, private, and hybrid cloud environment.
- Designing, implementing, and administration of enterprise-scale data and analytics platforms using modern cloud data platforms and distributed processing technologies.
- Data modeling: dimensional (Kimball), star/snowflake, and SCDs.
- Enterprise governance frameworks for data quality, lineage, and metadata.
- PySpark and SQL skills for scalable batch and streaming pipelines.
- Experience designing, implementing, and supporting cloud-based data storage, integration, processing, and analytics platforms.
- DevOps, Git and CI/CD best practices.
- Architectural artifacts & documentation (e.g., technical specs, data models, policies, procedures, architecture diagrams).
- Agile methodology and tools.
- HIPAA/HITECH compliance in cloud architectures.
- Technical leadership skills.
- Communication and organizational skills.
- Ability to work independently and in a team setting.
- Experience working with healthcare datasets.
Employment for this position is contingent upon a satisfactory background and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date.
Salary Range
$118-$150,872/Annually
Exact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity.
An excellent fringe benefit package accompanies the salary, which includes:
- Medical, Dental, Vision, Life, Long Term Disability
- Generous retirement savings plan
- Flexible work schedules including hybrid/remote options
- Paid time off including vacation, sick leave, holiday, management leave
- Dress flexibility