Technical Architect - Enterprise Data
Skills
Computer ScienceSoftware As A ServiceAdoptionConsumer TextilesCost EngineeringData WarehousingEmerging Technologies
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 10+ years in enterprise solution architecture data engineering or software development
- Degree in Computer Science Information Technology Management Information Systems or Accounting
- Hands-on expertise with Microsoft Fabric Data Lake Data Warehouse Data Pipelines and the Microsoft ecosystem
- Deep experience with Power BI semantic models datasets dashboards and reporting
- Advanced proficiency in DAX Power Query SQL Python and PySpark
- Experience architecting ETL ELT pipelines into Azure Data Lake and EDW
- Strong understanding of data modeling normalization metadata management and enterprise data security
- Exposure to AI ML Copilot GenAI LLMs prompt engineering and AI API integration
- Familiarity with SDLC software quality practices Jira Git and CI/CD
- Experience with SaaS Cloud ERP or CRM systems such as NetSuite Salesforce or SAP S/4HANA
- Excellent communication stakeholder management and problem solving skills
Nice to have
- Architectural leadership
- Security minded
- Analytical thinking
- Stakeholder focused
- Quality driven
- Problem solving
Day to day
- Define and govern scalable enterprise data and integration architectures across Microsoft Fabric Azure and core business systems.
- Partner with business stakeholders data teams security teams and application owners to translate requirements into technical blueprints and long term roadmaps.
- Lead architectural governance quality assurance and continuity planning while guiding engineering and vendor teams toward secure performant and compliant solutions.
- Integrate AI ML and GenAI capabilities into data products evaluate emerging technologies and improve reliability data quality and operational excellence.