Senior Manager, Engineering, Data Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead, mentor, and cultivate a team of data and software engineers.

• Assist in recruitment, talent development, and succession planning.

• Establish and steer the technical direction for Data Engineering platforms and capabilities.

• Advise on scalable, reusable data models and shared functionalities across various business domains.

• Collaborate with Product, Analytics, Finance, Security, Legal/Privacy, TPMO, and Engineering to align on roadmaps, milestones, and technical trade-offs.

• Spearhead platform modernization, analytics enablement, enhancements in data quality, and migration of essential metrics to reliable sources.

• Work alongside senior engineering leadership on resource allocation, investment priorities, organizational requirements, and conflicting demands.

• Set standards for data quality, reliability, observability, security, performance, and cost-effectiveness.

• Enhance engineering efficiency and platform sustainability through automation, documentation, reusable practices, and clear technical ownership.

• Implement team practices for planning, technical design, delivery, incident management, and ongoing improvement.

• Identify and manage technical and delivery risks, address dependencies, and communicate decisions and recommendations to stakeholders.

⛳️ Requirements

• A Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience.

• Over 8 years of experience in data engineering, platform engineering, or backend engineering.

• More than 3 years of experience in people leadership, with proven success in developing engineers, managing performance, and building high-performing teams.

• Experience in owning technical roadmaps and leading complex engineering projects, balancing business priorities with scalability, reliability, security, performance, and cost.

• Strong technical expertise in data architecture, distributed systems, data modeling, data pipelines, cloud platforms, and production operations.

• Proven experience in establishing engineering practices that enhance delivery predictability, operational reliability, team efficiency, and continuous improvement.

• Excellent communication, stakeholder management, and business acumen, with the ability to navigate ambiguity, prioritize competing demands, and foster alignment between technical and business teams.

• Experience in building or modernizing enterprise data platforms, including developing trusted, reusable data capabilities and applying data governance principles across data quality, lineage, ownership, privacy, and access controls.

• Familiarity with modern data engineering technologies such as Python or Scala, SQL, Spark, Kafka, Airflow, AWS services, and Snowflake or equivalent platforms.

• Authorization to work in the U.S.; LTK is not providing new sponsorship opportunities for candidates requiring employment visas.

🏝️ Benefits

• The chance to be part of a leading global company in creator commerce.

• A remote-first, productivity-focused work environment.

• Competitive salary and benefits package designed to support you and your family.

• 401(k) plan with LTK company matching.

• Medical, Vision, and Dental Insurance.

• Paid Maternity and Paternity Leave.

• Summer Fridays and Flexible PTO.

• For temporary full-time employees, benefits eligibility may vary.