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Sr. Manager Data Engineering at IPSY. Location Information: U.S.. . We're proud to be a . remote-first company.. Our fully remote team members have the chance to live and work where they want, because we believe work should fit into your life—not the other way around. We offer monthly virtual activities, company-wide offsites, professional development, and learning sessions, to help our team members stay connected, engaged, and impactful while working virtually.. . United States Remote:. Remote positions which may be performed in any of the states where IPSY has established a Business presence: . Arizona, California, Connecticut, Florida, Illinois, Kansas, Massachusetts, Missouri, North Carolina, New York, New Jersey, Nevada, Ohio, Pennsylvania, Texas, and Washington.. Any personal information that you share with us is subject to our . Privacy Policy.. . . . Beware job scams! . IPSY recruiters only use @. ipsy.com. email addresses. We . do not . interview via text/message/Teams. We don't ask for software downloads (except Zoom) and we will never ask for sensitive information (like SSN/bank info). Suspect fraud? Report it to law enforcement and . [email protected]. . . . . About the Role:. . IPSY is seeking a . Senior Data Engineering Manager. to lead and grow our Data Engineering team. In this high-impact role, you’ll be responsible for architecting and delivering efficient, reliable, and scalable data . pipelines. that support our personalization engine, analytics, AI/ML, and operational needs.. . You’ll work closely with stakeholders across Product, Engineering, Data Science, and Analytics to build and modernize our data platform using tools like . Databricks. , Delta Lake, and cloud-native solutions. You’ll also be an active contributor in exploring and enabling . GenAI. use cases by ensuring the foundational data infrastructure is in place.. . This position reports to the Sr. Director, Engineering and can be fully remote from any U.S. state where IPSY is authorized to hire.. . What You’ll Be Doing:. . . Lead and mentor a team of data engineers to design, build, and maintain robust, efficient, and scalable data pipelines.. . Own the architecture and execution of data solutions using . Databricks. , . Delta Lake. , and . Apache Spark. on the cloud (AWS).. . Partner with ML and GenAI teams to enable experimentation and deployment of AI-driven features by delivering trusted, high-quality data.. . Establish and enforce best practices for data engineering including CI/CD for pipelines, data versioning, testing, and monitoring.. . Drive data platform modernization by identifying inefficiencies and leading initiatives to optimize cost, performance, and reliability.. . Collaborate with cross-functional teams to define data requirements, model design, and implementation plans.. . Ensure strong governance, observability, security, and data quality standards are met.. . . What We Are Looking For:. . . 10+ years of experience in data engineering, including 3+ years in a leadership or management capacity.. . Proven track record of leading teams in designing and implementing scalable data pipelines and distributed systems.. . Strong hands-on experience with . Databricks. , . Spark. , . Delta Lake. , and modern cloud data architecture (preferably AWS).. . Deep understanding of batch and streaming data processing paradigms.. . Proficiency in . Python. , . SQL. , and pipeline orchestration tools like . Airflow. or . dbt. .. . Experience working with large-scale datasets and ensuring data quality, reliability, and performance.. . Solid communication skills and the ability to influence and align cross-functional stakeholders.. . . Bonus if You Have:. . . Experience enabling . GenAI. or . ML. workloads through curated, production-grade data pipelines.. . Exposure to modern data cataloging, observability, and quality tools (e.g., Monte Carlo, DataHub, Great Expectations).. . Background in e-commerce, consumer tech, or personalization at scale is a strong plus.. . Experience managing distributed or hybrid teams.. . . What We Offer:. . . Competitive . salary. & equity grants. . Annual bonus program (paid out quarterly). . Medical, dental & vision insurance. . 401(k) plan with company match. . Paid Time Off. . Work from home flexibility. . Free BoxyCharm subscription. . Learning & development programs. . . EEO Statement:. We celebrate diversity and are an equal-opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other protected characteristic. . . If you need reasonable accommodation in the application or employment process, please contact us.. . CCPA Notice. . . #LI-CF1. . #LI-Remote. . Pay is based on several non-discriminatory factors such as experience, education, skills, and location. IPSY offers a bonus, equity grants, and competitive benefits. Final compensation is determined by experience and skills.. Salary Range:$140,000—$180,000 USD.