Data Architect
2 weeks ago
Data Architect - Data Engineering, Power BI, Cloud (AWS)
Experience Required: Minimum 8 years
Role & responsibilities
- Design scalable data architectures for the Data Management and Engineering areas using cloud technologies (AWS preferred)
- Lead data modeling, data integration, and metadata management across systems
- Collaborate with Shape Architects and cross-functional teams to align data strategy with business goals
- Define and enforce data governance, data quality, and security standards
- Drive data engineering best practices and automation across pipelines
- Document and maintain data architecture blueprints, integration standards, and technical specifications
- Strong expertise in Data Engineering and strong expertise in Power BI are must-have requirements
Required Skills & Expertise:
- Cloud Engineering: AWS (preferred), Azure, GCP
- Data Engineering: ETL/ELT, Data Pipelines, Data Lakes, Lakehouse Architecture
- Data Modeling: Conceptual, Logical, Physical Models
- BI Tools: Power BI (Advanced), Tableau (optional)
- Data Virtualization: Denodo
- Data Governance: Master Data Management (MDM), Data Catalogs, Metadata Repositories
- Programming: SQL, Python, Spark (preferred)
- Architecture Frameworks: TOGAF, Zachman (optional)
- Agile Methodologies: Scrum, SAFe
Note: Compensation will be commensurate with your qualification, experience, and based on the feedback received from the interview panel.
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