What are the responsibilities and job description for the Sr Customer Data Engineer position at Tailored Brands?
Responsible for developing, maintaining, and optimizing our Customer Data Platform (CDP) to ensure seamless data integration with Snowflake Data warehouse, processing, and analysis. Proficiency to gather and integrate necessary data from Snowflake into a Customer Data Platform (CDP), enabling a deep understanding of customer behavior, preferences, and trends to drive personalized marketing strategies and enhance overall customer engagement. Development Initiatives: Manage the design, creation, and implementation of CDP, integrating with Snowflake ensuring the data is accurate, complete, and secure. Integration: Ensure seamless integration of the CDP with various data sources ingested within Snowflake, including CRM, marketing automation, and analytics tools. Develop and maintain Snowflake ELT (Extract, Load, Transform) data pipeline processes to integrate data sources / attributes not available within the CDP; Create and maintain source-to-target mappings and data lineage; Closely work with data analyst, data scientists, and business partners to build data solutions including writing complex query and query optimization which will support a variety of predictive and reporting applications. Performance Enhancement: Regularly monitor and optimize the performance of the CDP. Ensure data quality, accuracy, and consistency across all customer data sources. Implement and provide support to data governance and compliance protocols, including GDPR and CCPA. Apply now to power your career journey to Legendary! 8 years' experience with specific CDP platforms like High Touch, Simon Data, Segment or Similar CDP Platforms. Experience of Snowflake Data Warehouse for setting up Data Pipelines. Relevant Experience: Demonstrated experience as a Developer in a similar role within the retail or apparel industry. Familiarity with data visualization tools such as Tableau & Micro Strategy. Experience with API integrations and web services along with data cleansing. Proficiency in programming languages such as Java, Python Experience in SQL and writing sophisticated queries (Oracle, Snowflake etc.) Experience with cloud-based data storage like AWS & GCP. Good knowledge of production deployment, CI/CD orchestration and automation (Ansible, Kubernetes, Jenkins) and Git-Hub Knowledge of CRM systems and marketing automation tools like Salesforce. Familiarity with agile development methodologies. Knowledge of Data Privacy and Security Standards like CCPA, CRPA & GDPR Strong understanding of database modeling and database technologies (SQL & NoSQL). Knowledge of machine learning and data analytics. Certification in relevant technologies or methodologies. Excellent problem-solving and analytical skills. Strong communication and interpersonal abilities. Ability to work independently and as part of a team. Ability to sit and work at a computer keyboard for extended periods of time Ability to stoop, kneel, bend at the waist, and reach daily
