Senior Data Architect – Enterprise Data Strategy
AMER - United States - Washington - Offsite/Home, United States
R
USD 143K-256K Senior-level Full Time
Tasks
- Conduct integration design reviews and model refinement
- Create and maintain conceptual and logical data models
- Define enterprise data architecture vision
- Design and validate end to end data flows across systems
- Design data architecture patterns for data products
- Design reusable data foundations for AI experimentation and production
- Develop data governance principles and guardrails
- Drive consistency across distributed teams
- Ensure governed data is accessible for AI workflows
- Ensure privacy compliance security and financial controls
- Establish enterprise data domains and ownership
- Facilitate architectural governance and design reviews
- Ground machine learning pipelines in authoritative data domains
- Identify architectural fragmentation and define modernization strategies
- Identify enterprise data assets for AI and ML
- Lead architectural documentation and decision making frameworks
- Mentor data architects and engineers on modeling and integration patterns
- Provide implementation guidance for AI and real time data use cases
- Remove barriers to data discoverability accessibility and reuse
- Review APIs event schemas data contracts and pipeline architectures
- Translate conceptual and logical models into physical designs
Perks/Benefits
Skills/Tech-stack
AI machine learning | API Design | Automation | CRM | Cloud Architecture | Conceptual data modeling | Data Architecture | Data Contracts | Data Governance | Data Lineage | Data Management | Data Modeling | Data Observability | Data Quality | Data mesh | Distributed Systems | ERP | Event Driven | Event schemas | Event-driven architecture | Logical data modeling | Machine Learning | Machine Learning Pipelines | Master Data | Master Data Management | Personalization | Physical Data | Physical data modeling | Real Time | Real-time Data
Education
N/A
Roles
Regions
Countries
States
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