Data Architect

• Design, develop, and maintain conceptual, logical, dimensional, and physical data models.
• Translate business requirements into scalable and efficient data architecture solutions.
• Evaluate existing data systems and recommend improvements to data structures and architecture.
• Develop and maintain enterprise data models, data flows, metadata, and data standards.
• Design and optimize data warehouse structures to support reporting, analytics, and business intelligence.
• Work with Azure Cloud, Oracle, SQL, and data engineering teams to implement data solutions.
• Review data models for consistency, performance, scalability, and compatibility with existing systems.
• Establish data modeling standards, naming conventions, and best practices.
• Identify data discrepancies, troubleshoot data issues, and optimize database performance.
• Collaborate with business stakeholders, architects, and development teams to ensure alignment with business and technical requirements.

• Strong experience in conceptual, logical, dimensional, and physical data modeling.
• Extensive experience in Data Warehousing and enterprise data architecture.
• Hands-on experience with Azure Cloud services and data platforms.
• Strong SQL skills and experience with Oracle databases.
• Experience designing data flows and collaborating with data engineering and development teams.
• Knowledge of Big Data technologies, including Apache Spark and PySpark, is a plus.
• Experience with data modeling tools such as erwin Data Modeler and ER/Studio., * Experience with Big Data technologies, Apache Spark, and PySpark.
• Hands-on experience with erwin Data Modeler and ER/Studio.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and collaborate with cross-functional teams.

Regards