Cloud Data Architect

Key Responsibilities: 1. Data Architecture Design: – Develop and implement comprehensive data architecture strategies that support the needs of our Data on Snowflake Cloud Architecture. – Design scalable data models that facilitate efficient data procurement, storage, processing, and analysis.

2. Data Modeling: – Create logical and physical data models, that reflect business data consumption needs. – Ensure data models to support data mining, business intelligence, and analytics activities and AI tools. – Semantic models to facilitate self-service operations and AI tools.

3. Data Governance and Quality: – Help establish and facilitate management of data definitions, standards, policies, and procedures. – Enhance data quality by setting up frameworks for data consistency, accuracy, and completeness. – Lead efforts in data cataloging for improved data discovery and understanding.

4. Collaboration: – Work closely with data engineers, analysts, product owners, and other stakeholders to deliver data products that align with business objectives. – Facilitate cross-functional team efforts to ensure data architecture supports all aspects of the business.

5. Tool Utilization and Expertise: – Utilize advanced data modeling tools to design and optimize data architectures. – Stay updated with the latest trends in data technology and methodologies. – Familiarity with business intelligence tool set ecosystem, and strong experience with some.

6. Experience: – Minimum of 7-10 years in a Data Warehouse Architecture and Development or data modeling role. – Proven experience with data warehousing solutions, ELT processes, and data integration techniques. – Expert level knowledge of SQL and experience with database management systems (e.g., Snowflake, Teradata, PostgreSQL, Sybase, DB2, etc.). – Proficiency in data modeling tools like ERwin, PowerDesigner, or equivalent tools. – Proficiency in AI-enabled toolsets for data management and analytics. – Proficiency in big data technologies and cloud services (AWS, Azure, Google Cloud).

7. Soft Skills: – Exceptional analytical and problem-solving capabilities. – Strong communication skills to articulate complex data concepts to non-technical stakeholders. – Ability to work in a collaborative, agile environment. #J-18808-Ljbffr