Senior Data Architect
1 month ago
We are seeking a highly skilled Senior Data Architect to join our team at NewVision Software. The ideal candidate will have a strong focus on Azure Data Services and extensive experience in the full data lifecycle management on Azure, AWS, and GCP.
Key Responsibilities:- Data Acquisition and Ingestion: Define and execute data acquisition strategies, leveraging Azure Data Services for ingestion, and ensuring compatibility with AWS and GCP.
- ETL/ELT Pipeline Development: Design and implement ETL/ELT pipelines to facilitate efficient data processing and transformation.
- Data Engineering and Warehousing: Develop data models and architectures that support operational and analytical use cases, utilizing Azure Data Lake, Azure Synapse Analytics, and other Azure data services.
- Lakehouse Architecture Implementation: Construct and manage Lakehouse solutions, combining the benefits of data lakes and data warehouses to support a wide range of analytics and AI/ML workloads.
- Data Mesh and Microsoft Fabric: Implement Data Mesh architectures using Microsoft Fabric to enable decentralized data management and governance, ensuring data is organized and governed within specific business domains.
- Business Intelligence and Visualization: Oversee the development of BI solutions and visualization tools, making data actionable and accessible for decision-making.
- Master Data Management (MDM) and Data Governance: Ensure data quality, security, and compliance by implementing MDM and Data Governance frameworks.
- AI/ML and Generative AI Integration: Integrate AI/ML and Generative AI technologies to enhance data analytics and predictive capabilities.
- Solutioning and Proposal Response: Lead solutioning efforts for complex data challenges and respond to proposals, showcasing the technical and strategic value of our data solutions.
- Tools and Utilities Development: Contribute to the creation and enhancement of Data and AI practice tools, accelerators, and utilities to improve efficiency and innovation.
- Mentorship and Leadership: Guide and mentor junior architects and engineers, fostering a culture of continuous learning and excellence in data management.
- Minimum 12 years of professional experience in data architecture, with a focus on Azure and familiarity with AWS and GCP.
- Expertise in the full data lifecycle, including ETL/ELT, data engineering, data warehousing, Lakehouse architecture, and Data Mesh with Microsoft Fabric.
- Proven ability in BI, visualization, and integrating AI/ML and Generative AI into data solutions.
- Strong knowledge of MDM, data governance, and compliance with industry standards.
- Azure certifications and any relevant AI/ML and Generative AI certifications are highly desirable.
- Outstanding leadership and communication skills, capable of driving strategic data initiatives and fostering cross-departmental collaboration.
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field; or equivalent professional experience.
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