Join our client’s team as a Senior Data Architect, where you'll play a key role in designing and managing data architecture. This position focuses on Cloud data transformation, optimizing data flow, accuracy, and value, and offers an opportunity to drive innovation in a data-centric environment.
Key Responsibilities:
- Lead Data Architecture initiatives, providing strategic insights and solutions for complex problems.
- Design, build, test, and maintain scalable data management systems that meet business needs and industry standards.
- Implement database solutions using Azure Data frameworks (Databricks, Azure Data Factory, Azure databases/Fabric).
- Create and maintain data architecture documentation for management and executive teams.
- Develop strategies for data integration, retention, and disaster recovery.
- Select and implement database management systems, optimizing data storage and access controls.
- Define and implement long-term technology strategies across analytics, data engineering, and platforms.
- Simplify data architecture to deliver reusable services and cost savings.
- Lead peer reviews and quality assurance for architectural projects.
- Collaborate with IT teams, data analysts, and data scientists to align on future data needs and requirements.
- Work with Data Governance and Security teams to ensure data privacy and security.
- Partner with AI/Data Analytics teams to provide data-driven solutions.
- Engage with IoT teams to implement long-term data solutions.
- Stay updated on trends in data management, AI/ML, and cloud computing.
- Evaluate and recommend emerging technologies for data management and analytics.
Qualifications:
- Master’s degree in Computer Science, Statistics, Mathematics, or a related field (Bachelor’s with significant experience acceptable).
- 10+ years in IT with 8+ years in data architecture/design and implementation.
- Proficiency in Microsoft Azure data tools, including Azure Databricks, Azure Data Services, and multi-cloud environments.
- Background in .NET, Java, and experience with C#, Python, SQL, Oracle, NoSQL, and Data Fabric architectures.
- Familiarity with big data technologies (Hadoop, Hive, Spark) and machine learning frameworks (PyTorch, TensorFlow).
- Strong communication skills to effectively convey complex concepts to non-technical stakeholders.
- Preferred certifications: Microsoft Certified: Azure Data Scientist, Data Engineer, or AI Engineer.
If you’re passionate about data and looking to advance your career in a dynamic and challenging environment, we’d love to hear from you.