Enterprise Application and Data Architect
Bloomington, MN, United States
USD 133K-207K (estimate) Senior-level Full Time
Tasks
- Advocate clean architecture and observability
- Assess architectural risks and technical debt
- Champion DataOps practices
- Create technology roadmaps and landscape inventories
- Define application architecture standards
- Define data ingestion transformation and orchestration pipelines
- Design scalable governed data platforms
- Design semantic layer and dimensional modeling
- Design service decomposition and APIs
- Develop enterprise architecture artifacts
- Guide application architecture decisions
- Lead requirements discovery and business capability sessions
- Provide guidance for data warehouses and data lakes
- Review build pipelines and automated testing strategies
- Support business planning roadmap development
- Validate delivery aligns with business intent
Perks/Benefits
Skills/Tech-stack
API Design | Apache Spark | Application Architecture | Automated testing | Azure | Azure Fabric | Azure Synapse | Azure Synapse Analytics | Batch Processing | C# | CI/CD | CRM | Cloud Data | Cloud Data Platforms | Containerization | DBT | Data Architecture | Data Catalog | Data Governance | Data Lake | Data Lineage | Data Modeling | Data Quality | Data Vault | Data Warehouse | Data platforms | DataOps | Databricks | DevOps | DevSecOps | Dimensional Modeling | Docker | EHR | ELT | ERP | ETL | Enterprise Architecture | Integration Architecture | Java | Kubernetes | Lakehouse | Monitoring | Observability | Pipeline Orchestration | Python | SQL | Semantic layer | Streaming Pipelines | Synapse Analytics | TypeScript
Education
Regions
Countries
States
Cities
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