Cloud Data Architect; Remote, NC
Durham, Durham County, North Carolina, 27703, USA
Listed on 2026-06-30
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IT/Tech
Data Engineering, Data Warehousing, Cloud Computing: Infrastructure & Operations
The Cloud Data Architect is responsible for the design and implementation of scalable enterprise-wide data architecture. These responsibilities include optimizing data performance and accessibility, and ensuring data quality, integrity and security.
This position is full-time remote. Selected candidates 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
- 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
- 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
- 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
- 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
Education & Experience
• 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 Microsoft Azure cloud platform, preferably in a healthcare setting.
Required Certification
• Databricks Certified Data Engineer Professional
Preferred Certification
• Azure Security Engineer Associate (AZ-500)
Knowledge, Skills & Abilities
- Architecting enterprise-scale Medallion data platforms on Microsoft Azure Databricks Development and Administration
- 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
- Azure Data Services: ADLS Gen2, Data Factory, Synapse
- Dev Ops, Git and CI/CD best practices
- Architectural artifacts & documentation (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
$116,011 – $147,914 annually (Exact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity).
Benefits
- 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
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