Cloud Snowflake Data Engineer

• We are seeking a skilled and experienced Data Architect to design and implement data architecture stXXgies for our Snowflake Cloud Architecture.
• The ideal candidate will have extensive experience in data modeling, data governance, and data quality, as well as a strong understanding of data warehousing and integration techniques.
• This role requires collaboration with cross-functional teams to ensure data solutions align with business objectives and improve data accessibility and utilization.

Key Responsibilities:

Data Architecture XXgn:

• Develop and implement comprehensive data architecture strategies to support Data on Snowflake Cloud Architecture.
• XXgn scalable data models to facilitate efficient data procurement, storage, processing, and analysis.
• Data Modeling:
• Create logical and physical data models that meet business data consumption needs.
• Ensure data models support data mining, business intelligence, analytics, and AI tools.
• Develop semantic models to facilitate self-service operations.

Data Governance and Quality:

• Establish and manage data definitions, standards, policies, and procedures.
• Enhance data quality by setting frameworks for consistency, accuracy, and completeness.
• Lead efforts in data cataloging to improve data Client and understanding

Collaboration:

• Work closely with data engineers, analysts, product owners, and other stakeholders to deliver data products that meet business objectives.
• Facilitate cross-functional team efforts to ensure that data architecture supports all business aspects.

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 applicable to asset management.
• Familiarity with business intelligence tool sets and strong experience with related tools.

Preferred Experience:

• 7 10 years of experience in Data Warehouse Architecture and Development or a 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 such as Snowflake, Teradata, PostgreSQL, Sybase, DB2, etc.
• Proficiency in data modeling tools like Erwin, Power-Designer, or equivalent tools.
• Familiarity with big data technologies and cloud services (AWS, Azure, Google Cloud).
• Exceptional analytical and problem-solving skills.
• Strong communication skills to explain complex data concepts to non-technical stakeholders.
• Ability to work in a collaborative, agile environment.