Data Architect

Lead the design and development of data architecture blueprints: Define the technical vision for our data infrastructure, ensuring it meets evolving business needs and supports seamless analytics execution. 

Translate business requirements into technical specifications: Collaborate with stakeholders to understand their data needs and translate them into detailed technical requirements for data pipelines, models, and visualizations. 

Lead the transformation and optimization of our data platform: Partner with the internal data engineering team to modernize and enhance the efficiency and performance of our existing data infrastructure, ensuring it is scalable, reliable, and secure. 

Champion best practices in data management: Establish and enforce coding standards, security protocols, and quality assurance processes to ensure the integrity, reliability, and scalability of our data solutions. 

Enhance and implement data security and privacy measures: Develop and implement robust security and privacy controls to protect sensitive data and comply with relevant regulations. 

Drive innovation with emerging technologies: Stay abreast of cutting-edge data technologies, including cloud platforms (AWS, Azure, Snowflake), data modeling techniques, and machine learning algorithms, to continuously enhance our data capabilities. 

Collaborate with cross-functional teams: Work closely with data scientists, engineers, and business analysts to deliver end-to-end data solutions that drive business value.