Senior Data Architect

• 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.

Qualifications

• 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.
• bachelors or masters degree in Computer Science, Information Technology, or a related field; or equivalent professional experience.