Data Architect

• Design and implement scalable, high-performance data architectures that meet business requirements.  

• Model data for optimal reuse, interoperability, security and accessibility.  

• Develop and maintain data flow diagrams, and data dictionaries. 

• Collaborate with stakeholders to understand data needs and translate them into technical solutions. 

• Ensure data accessibility through a performant, cost-effective consumption layer that supports use by citizen developers, data scientists, AI, and application integration.  

• Ensure data quality, integrity, and security across all data systems. 

• Lead the design and implementation of data warehouses, data lakes, and other data storage solutions. 

• Establish and enforce data governance policies and best practices. 

• Ensure compliance to enterprise standards and contribute to the evolution of those standards resulting from changing technologies and best practices. 

• Influence and guide the evolution of data architecture standards across the enterprise. 

Requirements:

• At least 2 years of proven experience as a Data Architect or similar role.
• Strong knowledge of data modeling, data warehousing, and data integration techniques.
• Proficiency in database management systems (e.g., SQL Server, Oracle, PostgreSQL).
• Experience with big data technologies (e.g., Hadoop, Spark) and data lake solutions (e.g., Azure Data Lake, AWS Lake Formation).
• Familiarity with cloud platforms (e.g., Microsoft Azure, AWS, Google Cloud Platform).
• Strong understanding of data governance and security best practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent experience).