Remote Senior Data Engineering Leader

Ltk; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive compensation and benefits

401(k) with LTK matching

Medical, Vision, Dental Insurance

Paid Maternity Leave and Paid Pater­n­

Summer Fridays and Flexible PTO

Job summary

LTK is hiring a Senior Manager, Data Engineering to lead a team building and operating data capabilities powering products, analytics, governance, and AI use cases. You will own the team's technical direction across data architecture, pipelines, data quality, and platform reliability.

You will translate complex priorities into actionable plans, balance near-term delivery with long-term investments, and build a high-performing, inclusive team that delivers scalable data solutions across multiple

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8+ years of experience in data engineering, platform engineering, or backend engineering.
• 3+ years of people leadership experience, with demonstrated success developing engineers and teams.
• Experience owning technical roadmaps and leading complex engineering initiatives balancing priorities with scalability and cost.
• Strong technical judgment across data architecture, distributed systems, data modeling, data pipelines, cloud platforms, and production operations.
• Experience establishing engineering practices that improve delivery, reliability, and velocity.

Responsibilities

• Lead, coach, and develop a team of data and software engineers, setting clear performance expectations and fostering growth.
• Support hiring, talent development, and succession planning to strengthen the team.
• Define and drive the technical direction for the Data Engineering team's platforms and capabilities.
• Guide the development of scalable, reusable data models and shared capabilities across domains.
• Partner with Product, Analytics, Finance, Security, Legal/Privacy, TPMO, and Engineering to translate priorities into roadmaps.
• Lead execution of data engineering initiatives including platform modernization, analytics enablement, and data quality improvements.
• Collaborate with senior leadership on resource planning and investment priorities.
• Establish and maintain standards for data quality, reliability, observability, security, and cost efficiency.

Skills

People leadership

Data architecture

Distributed systems

Data modeling

Data pipelines

Cloud platforms

Production operations

Communication

Stakeholder management

Leadership

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical field

Tools

Python

Scala

SQL

Spark

Kafka

Airflow

AWS

Snowflake

Job description

LTK is hiring a Senior Manager, Data Engineering to lead a team building and operating data capabilities powering products, analytics, governance, and AI use cases. You will own the team's technical direction across data architecture, pipelines, data quality, and platform reliability.

You will translate complex priorities into actionable plans, balance near-term delivery with long-term investments, and build a high-performing, inclusive team that delivers scalable data solutions across multiple