Cloud Data Architect

Job Description

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.