Senior Data Engineering Manager — Platform & Governance

LTK USA; Dallas (TX); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

401(k) with LTK matching

Medical Insurance

Vision Insurance

Dental Insurance

Paid Maternity Leave

Paid Paternity Leave

Summer Fridays

Flexible PTO

Job summary

LTK is seeking a Senior Manager, Data Engineering, to lead the team responsible for building and operating data capabilities powering our products, reporting, analytics, governance, and AI use cases. This role will own the Data Engineering team's technical direction, focusing on architecture, pipelines, data quality, and platform reliability.

Ideal candidates will demonstrate strong people leadership, technical judgment, and business acumen, translating priorities into actionable plans and

Qualifications

• Bachelor’s degree or equivalent practical experience in a technical field.
• 8+ years of experience in data engineering, platform engineering, or backend engineering.
• 3+ years of people leadership experience, with proven success building teams.
• Experience owning technical roadmaps and leading complex engineering initiatives balancing priorities with scalability, reliability, security and cost.
• Strong judgement across data architecture, distributed systems, data modeling, data pipelines, cloud platforms, and production operations.
• Experience establishing engineering practices that improve delivery predictability, reliability, and continuous improvement.
• Strong communication and stakeholder management, with ability to navigate ambiguity and align technical and business teams.

Responsibilities

• Lead, coach, and develop a team of data and software engineers with clear performance expectations.
• Define and drive technical direction for data platforms including architecture, modeling, ingestion, transformation, storage, APIs, and governance.
• Develop scalable, reusable data models and shared capabilities across multiple domains.
• Collaborate with Product, Analytics, Finance, Security, Legal/Privacy, TPMO, and Engineering to translate priorities into roadmaps and milestones.
• Oversee platform modernization, analytics enablement, data quality, and migration of critical metrics to trusted sources.
• Improve engineering efficiency and platform sustainability through automation, documentation, and reusable practices.

Skills

People leadership

Data architecture

Data modeling

Data pipelines

Distributed systems

Cloud platforms

Production operations

Stakeholder management

Education

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

Tools

Python

Scala

SQL

Spark

Kafka

Airflow

AWS

Snowflake

Job description

LTK is seeking a Senior Manager, Data Engineering, to lead the team responsible for building and operating data capabilities powering our products, reporting, analytics, governance, and AI use cases. This role will own the Data Engineering team's technical direction, focusing on architecture, pipelines, data quality, and platform reliability.

Ideal candidates will demonstrate strong people leadership, technical judgment, and business acumen, translating priorities into actionable plans and