Technical Architect - Enterprise Data
Dallas, TX, United States
USD 130K-180K (estimate) Senior-level Full Time
Tasks
- Conduct root cause analysis for data issues
- Coordinate continuity documentation and recovery execution
- Create architectural flows and reference models
- Define enterprise data architecture
- Define testing strategies for new features
- Design continuity and disaster recovery plans
- Design integration patterns
- Drive platform cost optimization and performance tuning
- Enforce architectural governance and standards adherence
- Ensure regulatory security and confidentiality compliance
- Establish data modeling and governance standards
- Establish quality gates and acceptance criteria
- Identify architectural risks
- Implement data validation logging monitoring lineage and RBAC
- Integrate AI ML and GenAI into data products
- Manage platform reliability and data quality processes
- Provide responsible AI usage guidance
- Provide technical guidance to vendor engineers
- Recommend adoption strategies for emerging technologies
- Review user stories and provide architectural guidance
- Set vendor process and documentation expectations
- Translate business requirements into technical specifications and roadmaps
Perks/Benefits
- N/A
Skills/Tech-stack
AI API | AI API integration | AI/ML | API Integration | Azure | Azure Data | Azure Data Lake | Azure data pipelines | CI/CD | Continuity planning | Copilot | DAX | Data Governance | Data Lake | Data Lineage | Data Modeling | Data Pipelines | Data Validation | Data Warehouse | Disaster Recovery | ELT | ETL | Generative AI | Git | Jira | Language Models | Large Language Models | Logging | Metadata Management | Microsoft Fabric | Monitoring | Performance Tuning | Power BI | Power Query | Prompt engineering | PySpark | Python | RBAC | SDLC | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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