High-Growth Data Solutions Architect
1 day ago
We are seeking an experienced data engineer to join our team. As a data engineer, you will be responsible for designing and implementing scalable, secure, and high-performing data solutions aligned to business needs.
- Data Architecture & Storage: Design robust data models, flows, and storage using Microsoft Fabric and Azure SQL; Manage master data with Profisee and integrate with existing systems.
- Data Integration & Transformation: Build and manage data pipelines using Azure Data Factory and related tools; Ingest data from APIs and external systems into the Azure ecosystem.
- Testing, Monitoring & Optimization: Ensure data quality, consistency, and integrity across all stages; Troubleshoot performance issues and fine-tune data pipelines.
- Advanced Analytics & Reporting: Develop OLAP cubes and tabular models with SSAS; Write complex MDX and DAX queries for data analysis.
- Collaboration & Documentation: Work closely with analysts, developers, and business leaders to translate needs into data-driven solutions; Document architectures, processes, and provide support/training as needed.
- 5+ years of experience in data engineering, database development, or architecture
- Proficiency with SQL, NoSQL, and lakehouse architecture
- Master data management using Profisee software
- Management of data estate using Purview software
- Deep knowledge of Azure services: ADF, Fabric, Synapse, Data Lake, Purview, etc.
- Experience with master data management (Profisee preferred)
- Strong understanding of data privacy, security, and API integration
- Hands-on experience with SSAS (tabular & OLAP models), MDX, and DAX
- Experience managing performance, data pipelines, and complex data models
- Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or equivalent experience
- Competitive compensation
- Wellness program
- HMO coverage
- Rewards and Recognition program
- Free shuttle service
- Free lunch meal
- On-demand learning classes
- Discretionary time off and Holidays
- Performance-based salary increase
- Discretionary incentive compensation based on client or individual performance
- Hybrid set up to selected roles/location
- Working with a dynamic team
- Growth opportunities
- Professional development
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