Senior Data Engineering Lead, Platform & Data Quality (Remote)

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

Benefits offered by this job

401(k) with company matching

Medical, Vision, Dental insurance

Paid parental leave

Summer Fridays

Flexible PTO

Job summary

LTK is seeking a Senior Manager, Data Engineering to lead a team delivering scalable data platforms powering products, analytics, and AI use cases. You will own technical direction across data architecture, pipelines, and governance while balancing short-term delivery with long-term platform investments.

You will partner with Product, Analytics, Security, and Engineering to translate business priorities into roadmaps and ensure reliable, reusable data capabilities that meet business needs.

Qualifications

• Bachelor’s degree in a technical field or equivalent practical experience.
• 8+ years in data/ backend/ platform engineering.
• 3+ years in people leadership, scaling teams.
• Experience owning technical roadmaps balancing priorities with scalability, reliability, security, and cost.
• Strong judgment across data architecture, distributed systems, data modeling, pipelines, cloud, and production operations.
• Proven ability to establish engineering practices improving delivery predictability and reliability.
• Excellent communication, stakeholder management, and ability to navigate ambiguity.

Responsibilities

• Lead and develop a data and software engineering team, setting clear performance expectations.
• Define technical direction for data platforms, architecture, ingestion, transformation, storage, APIs, and governance.
• Build reusable data models and capabilities across multiple business domains.
• Collaborate with Product, Analytics, Finance, Security, Legal/Privacy, TPMO, and Engineering to translate priorities into roadmaps.
• Oversee platform modernization, analytics enablement, data quality improvements, and metric migrations.“
• Partner with senior leadership on resource planning and investment priorities.
• Establish standards for data quality, observability, security, performance, and cost efficiency.
• Drive automation, documentation, and reusable practices to improve efficiency.

Skills

Data architecture

Distributed systems

Data modeling

Data pipelines

Production operations

Leadership

Stakeholder management

Communication

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 a team delivering scalable data platforms powering products, analytics, and AI use cases. You will own technical direction across data architecture, pipelines, and governance while balancing short-term delivery with long-term platform investments.

You will partner with Product, Analytics, Security, and Engineering to translate business priorities into roadmaps and ensure reliable, reusable data capabilities that meet business needs.