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Job Description & How to Apply Below
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
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