Senior Data Engineering Manager-1

Job description

POSITION OVERVIEW

The Senior Data Engineering Manager is responsible for leading the delivery and operational excellence of Ralph Lauren’s enterprise data engineering capabilities that underpin Data Products, analytics, and AI enablement. This role manages a team of data engineers and partners closely with Data Product Managers, Platform teams, Governance, and Analytics to deliver reliable, scalable, secure, and well-governed data pipelines and curated datasets aligned to business priorities.

The Data Engineering Manager focuses on execution, engineering rigor, team leadership, and cross-functional coordination, while product strategy and prioritization remain with Product leadership.

Qualifications

EXPERIENCE, SKILLS & KNOWLEDGE Must Have (Strong hands on leadership)

• Databricks & Apache Spark - delivery leadership, troubleshooting, performance tuning
• Azure - operating within Azure based data ecosystems, identity and access concepts
• Delta Lake / Lakehouse patterns - scalable data modeling and pipeline design
• CI/CD for data pipelines - automated build, test, deploy, and release practices
• SQL & Python - strong proficiency

Good to Have

• SODA or equivalent data quality / observability tools
• Atlan or similar data catalog and metadata platforms
• Power BI awareness - understanding downstream reporting and consumption requirements ________________________________________ Qualifications
• Typically more than 10 years of experience in data engineering, including team or delivery leadership roles.
• Experience building and operating enterprise scale data pipelines in complex environments.
• Strong stakeholder management skills across product, engineering, analytics, and governance teams.
• Ability to balance speed, quality, and stability in delivery decisions