Sr Manager, Engineering, Data Engineering

Description

The company builds a platform that helps premium lifestyle creators earn money from their content, and it is hiring a senior manager to lead the Data Engineering team.

The role is full-time and remote, reporting to the VP of Engineering.

The team builds and runs the data capabilities behind the company's products, reporting, analytics, governance, and emerging AI work.

The company was founded in 2011 and operates in 160+ countries, with headquarters in Dallas, TX. Creators there drive more than $5 billion+ in annual retail sales through their LTK Shop profiles, and more than 40 million consumers use LTK Shops each month. More than 8,000 retailers and 1M brands work with the company.

Responsibilities

• Lead, coach, and grow a team of data and software engineers, set clear performance expectations, and build an inclusive, high-performing group.
• Take part in hiring, talent development, and succession planning.
• Set the technical direction for the team's platforms, covering architecture, modeling, ingestion, transformation, storage, APIs, and governance.
• Guide the building of reusable data models and shared capabilities that serve several business domains and cut down on fragmented solutions.
• Work with Product, Analytics, Finance, Security, Legal/Privacy, TPMO, and Engineering to turn business priorities into roadmaps, milestones, and technical tradeoffs.
• Lead key initiatives such as platform modernization, analytics enablement, data quality work, and moving critical metrics onto trusted sources.
• Work with senior engineering leaders on resourcing, investment priorities, and competing demands.
• Set and maintain standards for data quality, reliability, observability, security, performance, and cost.
• Make engineering more efficient and the platform easier to sustain through automation, documentation, reusable practices, and clear ownership.
• Set up team practices for planning, design, delivery, incident management, and continuous improvement.
• Spot technical and delivery risks early, clear dependencies, and share decisions, tradeoffs, and recommendations with stakeholders.

Requirements

• A bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent hands-on experience.
• 8+ years in data engineering, platform engineering, or backend engineering.
• 3+ years leading people, with a record of growing engineers, managing performance, and building strong teams.
• Experience owning technical roadmaps and leading complex engineering work while balancing business priorities against scalability, reliability, security, performance, and cost.
• Strong technical judgment across data architecture, distributed systems, data modeling, pipelines, cloud platforms, and production operations.
• Experience building engineering practices that make delivery more predictable, operations more reliable, and teams more effective.
• Strong communication, stakeholder management, and business judgment, with the ability to work through ambiguity, set priorities among competing needs, and align technical and business teams.
• Experience building or modernizing enterprise data platforms, including reusable, trusted data capabilities and data governance across quality, lineage, ownership, privacy, and access controls.
• Experience with Python or Scala, SQL, Spark, Kafka, Airflow, AWS services, and Snowflake or comparable platforms.

Conditions

Full-time, remote.

The company is an equal opportunity employer that values diversity, equity, and inclusion.

For US-based roles, the company is not offering new visa sponsorship, such as H-1B. Authorization to work in the U.S. is a precondition of employment.

Benefits

• Work at a leading global company in creator commerce.
• Remote-first, productivity-first setup.
• Competitive compensation and benefits for you and your family.
• 401(k) with 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.