Technical Architect - Enterprise Data
Core
Define, govern, and deliver scalable enterprise data and integration architectures across Microsoft Fabric, Azure, and core business systems.
Role type
Senior Technical Architect - Enterprise Data
Builds
Enterprise data platforms, integration patterns, and architectural roadmaps for large-scale business systems.
Domain
Enterprise Data & Cloud Infrastructure (Microsoft Fabric, Azure)
Deliverable
production ML models | product features | infrastructure
Required skills
Enterprise solution architecture, end-to-end integration design, Microsoft Fabric, Data Lake, Data Warehouse, ETL/ELT pipelines, Power BI semantic models, DAX, Power Query, SQL, Python, PySpark, data modeling, metadata management, AI/ML integration, GenAI, LLMs, prompt engineering, SDLC, CI/CD, ERP/CRM systems (NetSuite, Salesforce, SAP S/4HANA)
Preferred skills
None explicitly stated
Technologies
Microsoft Fabric, Azure, Power BI, DAX, Power Query, SQL, Python, PySpark, Jira, Git
Responsibilities
Define Enterprise Data Architecture across Fabric, Data Lake, EDW, and analytics platforms; Design Integration Patterns for ingestion, transformation, and consumption; Create architectural flows and reference models; Establish standards for data modeling, metadata, lineage, and governance; Implement data validation, logging, monitoring, lineage, and RBAC; Drive platform cost optimization, performance tuning, and operational excellence; Collaborate with business stakeholders to translate requirements into technical specifications; Review user stories and provide architectural guidance to development teams; Integrate AI/ML Models and GenAI capabilities into data products; Conduct root cause analysis for data issues; Manage platform reliability, data quality, and governance processes; Design continuity strategies for data and integration platforms; Set vendor expectations and drive quality accountability for vendor-led work.
Seniority
Senior, hands-on IC