Sr Customer Data Engineer

Overview

Join to apply for the Sr Customer Data Engineer role at Tailored Brands, Inc.

At Tailored Brands, we help people love the way they look and feel for their most important moments. Our Technology team values a culture that blends a 50-year legacy with a forward-looking approach, offering flexible work options and opportunities to deliver real value for customers.

What You'll Do

• Responsible for developing, maintaining, and optimizing our Customer Data Platform (CDP) to ensure seamless data integration with Snowflake Data Warehouse, processing, and analysis. Gather and integrate data from Snowflake into a CDP to understand customer behavior, preferences, and trends to drive personalized marketing strategies and enhance customer engagement.
• Design, create, and implement the CDP, integrating with Snowflake while ensuring data accuracy, completeness, and security.
• Ensure seamless integration of the CDP with data sources ingested within Snowflake, including CRM, marketing automation, and analytics tools. Develop and maintain Snowflake ELT pipelines to integrate data sources / attributes not available within the CDP.
• Create and maintain source-to-target mappings and data lineage. Collaborate with data analysts, data scientists, and business partners to build data solutions, including writing complex queries and optimizing queries for predictive and reporting applications.
• Contribute to data architecture by supporting scalable CDP data architectures and monitoring CDP performance for optimization.
• Partner with marketing, sales, analytics, and IT teams to understand data requirements and deliver solutions aligned with business objectives. Maintain thorough documentation of the CDP architecture, processes, and procedures.
• Ensure data quality, accuracy, and consistency across all customer data sources. Implement and support data governance and compliance protocols, including GDPR and CCPA. Monitor and troubleshoot the CDP to resolve issues promptly.
• Machine Learning : Create and deploy machine learning models for customer segmentation, personalization, and predictive analytics.
• Stay current with trends, tools, and technologies in customer data platforms and data analytics.

What You'll Bring

Benefits

This role is eligible for healthcare (medical, dental, vision), retirement savings (401k with company match), life / accident / disability insurance, paid time off, wellbeing programs, commuter and education assistance, and employee merchandise discounts. For more details, visit mytbtotalrewards.com.

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