Sr Manager, Engineering, Data Engineering

shopltk; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

401(k) match

Medical insurance

Vision insurance

Dental insurance

Paid parental leave

Summer Fridays

Flexible PTO

Job summary

Shopltk is seeking a senior leader to head the data platforms and capabilities that power products, analytics, governance, and emerging AI use cases. You will set technical direction, manage delivery across architecture, pipelines, and data products, and balance immediate needs with sustainable platform investments.

You will lead engineers, shape data architecture and governance, and drive platform modernization, reliability, and performance.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8+ years in data, platform, or backend engineering with 3+ years in leadership.
• Experience owning roadmaps and balancing scalability, reliability, security, and cost.
• Strong judgment across data architecture, distributed systems, and production operations.
• Excellent communication and stakeholder management skills.

Responsibilities

• Lead engineers across data platforms, pipelines, and data products.
• Set technical direction for architecture, governance, and modernization efforts.
• Coach, hire, and develop engineers; support career growth and succession.
• Collaborate with product, analytics, security, and finance leaders on roadmaps.
• Improve data quality, observability, reliability, and cost efficiency.

Skills

Leadership

Data platform leadership

Cloud architecture

Stakeholder management

System reliability

Education

Bachelor’s degree in a related technical field

Tools

Python/Scala

SQL

Spark

Kafka

Airflow

AWS

Snowflake

Job description

Role overview

Lead the engineering team responsible for data platforms and capabilities that support products, reporting, analytics, governance, and emerging AI use cases. You’ll set technical direction while managing delivery across architecture, pipelines, data products, quality, and reliability, balancing immediate business needs with sustainable platform investments.

Responsibilities

• Manage, coach, and develop data and software engineers; support hiring, performance, career growth, and succession planning.


• Set direction for data architecture, modeling, ingestion, transformation, storage, APIs, and governance.


• Build reusable data models and shared capabilities that serve multiple business areas.


• Partner with product, analytics, finance, security, privacy, program management, and engineering leaders to shape roadmaps and delivery plans.


• Lead platform modernization, analytics enablement, data quality improvements, and migration of important metrics to trusted sources.


• Establish practices for data quality, reliability, observability, security, performance, cost efficiency, delivery, and incident management.

Requirements

• Bachelor’s degree in a related technical field or equivalent practical experience.


• 8+ years in data, platform, or backend engineering, including 3+ years leading people.


• Experience owning technical roadmaps and complex engineering initiatives while balancing business needs with scalability, reliability, security, performance, and cost.


• Strong judgment across data architecture, distributed systems, modeling, pipelines, cloud platforms, and production operations.


• Experience improving engineering practices, delivery, and platform reliability, with strong communication and stakeholder skills.

Nice to have

• Experience modernizing enterprise data platforms and applying governance to quality, lineage, ownership, privacy, and access.


• Familiarity with tools such as Python or Scala, SQL, Spark, Kafka, Airflow, AWS, and Snowflake or comparable platforms.

Benefits and work setup

• U.S.-based remote role in a remote-first environment.


• Full-time salaried benefits include a 401(k) match, medical, vision, and dental insurance, paid parental leave, Summer Fridays, and flexible paid time off.