Cloud Data Architect

Description du poste

Job Description

Responsabilités clés

• Conception d’architecture des données :

  • 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.

• Modélisation des données :

  • 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.

• Gouvernance et qualité des données :

  • 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.

• 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.

• Utilisation des outils et 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.

• Expérience :

  • 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).

• Compétences :

  • 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.