Data Architect

Responsibilities:
•                    Collaborate with business stakeholders to understand data requirements and translate them into technical specifications.
•                    Design and develop a comprehensive data architecture, including logical and physical data models.
•                    Select and implement appropriate data management technologies and tools.
•                    Ensure data quality, consistency, and integrity throughout the data lifecycle.
•                    Develop and implement data governance policies and procedures.
•                    Work with database administrators and developers to ensure the successful implementation of the data architecture.
•                    Stay up-to-date on emerging data management trends and technologies.
•                    Document data architecture components and processes.

Data Skills and Qualifications:
•                    Minimum 10+ years of experience in data architecture or a related field.
•                    Proven experience in designing and implementing data models (logical and physical).
•                    Strong understanding of data governance principles and best practices.
•                    Experience with data management technologies (e.g., relational databases, data warehouses, data lakes).
•                    Experience with SQL and knowledge of data modeling tools (e.g., Erwin Data Modeler, ER Studio).
•                    Excellent analytical and problem-solving skills.
•                    Strong communication and collaboration skills.
•                    Experience with implementing cloud-based data management solutions (e.g., AWS, Azure, GCP) . Snowflake and DBT project implementation experience is preferred. 
•                    Experience with data integration and ETL (Extract, Transform, Load) processes.
•                    Experience with data security best practices.
•                    Experience working in an Agile development environment