Enterprise Data Architect

JD: Enterprise Data Architect

Responsibilities:

• Architect and design end-to-end data solutions on Cloud Platform, focusing on data warehousing and big data platforms.
• Collaborate with clients (including business stakeholders), developers, and architecture teams to understand requirements and translate them into effective data solutions.
• Develop high-level and detailed data architecture and design documentation.
• Implement data management and data governance strategies, ensuring compliance with industry standards.
• Architect both batch and real-time data solutions, leveraging cloud native services and technologies.
• Design and manage data pipeline processes for historic data migration and data integration.
• Collaborate with business analysts to understand domain data requirements and incorporate them into the design deliverables.
• Drive innovation in data analytics by leveraging cutting-edge technologies and methodologies.
• Demonstrate excellent verbal and written communication skills to communicate complex ideas and concepts effectively.
• Stay updated on the latest advancements in Data Analytics, data architecture, and data management techniques. 

Requirements

• Overall 15+ years of experience in data analytics
• Minimum of 5 years of experience in a Data Architect role, supporting warehouse and Cloud data platforms/environments
• Strong expertise in

  Databricks

  (data engineering, ML pipelines, Delta Lake)
• Proficiency in

  Denodo

  (data virtualization, federation, semantic layer design)

• Knowledge of Snowflake

  (data warehousing, query optimization, performance tuning).
• Knowledge/experience in

  data products and data mesh

• Familiarity with cloud platforms (Azure, AWS, GCP).

• Proven experience designing E2E solutions

  using Lakehouse, warehouse, data science, real-time analytics, and Power BI integration
• Strong expertise in data exploration using SQL and a deep understanding of data relationships.
• Extensive knowledge and implementation experience in data management, governance, and security frameworks.
• Proven experience in creating

  high-level and detailed data architecture and design documentation

  .
• Strong aptitude for business analysis to understand domain data requirements.
• Hands-on experience with architecting end-to-end data solutions for both batch and real-time designs.
• Ability to collaborate effectively with clients, developers, and architecture teams to implement enterprise-level data solutions.
• Proficiency in Data Modelling using any Modelling tool for Conceptual, Logical, and Physical models is preferred