Sr Manager, Engineering, Data Engineering
LTK
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Job summary
LTK is seeking a Senior Manager of Engineering, Data Engineering, to lead and shape the data capabilities powering our products, analytics, and AI use cases. You will own technical direction across data architecture, pipelines, and governance while guiding a team to deliver reliable, scalable data solutions from a remote location in the U.S.
You will partner with product, analytics, security, and legal to translate business priorities into clear roadmaps and milestones, drive platform
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 building high-performing teams.
- Experience owning technical roadmaps and leading complex engineering initiatives.
- Strong technical judgment across data architecture and distributed systems.
- Experience establishing engineering practices that improve delivery reliability and efficiency.
- Excellent communication and stakeholder management skills.
Responsibilities
- Lead and develop a team of data and software engineers with clear performance expectations.
- Define the technical direction for data platforms, including architecture, modeling, ingestion, and governance.
- Drive scalable, reusable data models and shared capabilities across domains.
- Collaborate with product, analytics, security, and legal to translate priorities into roadmaps and milestones.
- Oversee platform modernization, data quality improvements, and metrics migration to trusted sources.
- Improve engineering efficiency through automation, documentation, and reusable practices.
Skills
Education
Tools
Job description
Position Title : Senior Manager, Engineering, Data Engineering
Department/Function: Data Engineering
Reports to: VP, Engineering
Location: Remote from the U.S.
Employment type: Full-Time
The Senior Manager, Data Engineering leads the team responsible for building and operating the data capabilities that power LTK's products, reporting, analytics, governance, and emerging AI use cases.
This leader owns the Data Engineering team's technical direction and execution across data architecture, pipelines, data products, data quality, and platform reliability. The role is responsible for evolving LTK's data ecosystem toward well-governed, reusable, and trusted data capabilities that support business needs.
The person in this role will bring strong people leadership, technical judgment, and business acumen. They will translate complex priorities into actionable plans, balance near-term delivery with long-term platform investments, and build a team that consistently delivers reliable, scalable solutions.
- Lead, coach, and develop a team of data and software engineers, setting clear performance expectations, supporting career growth, and building a high-performing, inclusive team.
- Support hiring, talent development, and succession planning to strengthen the team's capabilities and long-term effectiveness.
- Define and drive the technical direction for the Data Engineering team's platforms and capabilities, including data architecture, modeling, ingestion, transformation, storage, APIs, and governance.
- Guide the development of scalable, reusable data models and shared capabilities that support multiple business domains and reduce fragmented solutions.
- Partner with Product, Analytics, Finance, Security, Legal/Privacy, TPMO, and Engineering to translate business priorities into clear roadmaps, delivery milestones, and technical tradeoffs.
- Lead execution of key data engineering initiatives, including platform modernization, analytics enablement, data quality improvements, and migration of critical metrics to trusted sources.
- Collaborate with senior engineering leadership on resource planning, investment priorities, organizational needs, and competing business demands.
- Establish and maintain standards for data quality, reliability, observability, security, performance, and cost efficiency.
- Improve engineering efficiency and platform sustainability through automation, documentation, reusable practices, and clear technical ownership.
- Establish effective team practices for planning, technical design, delivery, incident management, and continuous improvement.
- Proactively identify and manage technical and delivery risks, resolve dependencies, and communicate decisions, tradeoffs, and recommendations to stakeholders.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, 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, managing performance, and building high-performing teams.
- Experience owning technical roadmaps and leading complex engineering initiatives, balancing business priorities with scalability, reliability, security, performance, 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 predictability, operational reliability, team effectiveness, and continuous improvement.
- Strong communication, stakeholder management, and business judgment, with the ability to navigate ambiguity, prioritize competing needs, and build alignment across technical and business teams.
- Experience building or modernizing enterprise data platforms, including developing trusted, reusable data capabilities and applying data governance principles across data quality, lineage, ownership, privacy, and access controls.
- Experience with modern data engineering technologies such as Python or Scala, SQL, Spark, Kafka, Airflow, AWS services, and Snowflake or comparable platforms.
Position Title : Senior Manager, Engineering, Data Engineering
Department/Function: Data Engineering
Reports to: VP, Engineering
Location: Remote from the U.S.
Employment type: Full-Time
The Senior Manager, Data Engineering leads the team responsible for building and operating the data capabilities that power LTK's products, reporting, analytics, governance, and emerging AI use cases.
This leader owns the Data Engineering team's technical direction and execution across data architecture, pipelines, data products, data quality, and platform reliability. The role is responsible for evolving LTK's data ecosystem toward well-governed, reusable, and trusted data capabilities that support business needs.
The person in this role will bring strong people leadership, technical judgment, and business acumen. They will translate complex priorities into actionable plans, balance near-term delivery with long-term platform investments, and build a team that consistently delivers reliable, scalable solutions.
- Lead, coach, and develop a team of data and software engineers, setting clear performance expectations, supporting career growth, and building a high-performing, inclusive team.
- Support hiring, talent development, and succession planning to strengthen the team's capabilities and long-term effectiveness.
- Define and drive the technical direction for the Data Engineering team's platforms and capabilities, including data architecture, modeling, ingestion, transformation, storage, APIs, and governance.
- Guide the development of scalable, reusable data models and shared capabilities that support multiple business domains and reduce fragmented solutions.
- Partner with Product, Analytics, Finance, Security, Legal/Privacy, TPMO, and Engineering to translate business priorities into clear roadmaps, delivery milestones, and technical tradeoffs.
- Lead execution of key data engineering initiatives, including platform modernization, analytics enablement, data quality improvements, and migration of critical metrics to trusted sources.
- Collaborate with senior engineering leadership on resource planning, investment priorities, organizational needs, and competing business demands.
- Establish and maintain standards for data quality, reliability, observability, security, performance, and cost efficiency.
- Improve engineering efficiency and platform sustainability through automation, documentation, reusable practices, and clear technical ownership.
- Establish effective team practices for planning, technical design, delivery, incident management, and continuous improvement.
- Proactively identify and manage technical and delivery risks, resolve dependencies, and communicate decisions, tradeoffs, and recommendations to stakeholders.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, 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, managing performance, and building high-performing teams.
- Experience owning technical roadmaps and leading complex engineering initiatives, balancing business priorities with scalability, reliability, security, performance, 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 predictability, operational reliability, team effectiveness, and continuous improvement.
- Strong communication, stakeholder management, and business judgment, with the ability to navigate ambiguity, prioritize competing needs, and build alignment across technical and business teams.
- Experience building or modernizing enterprise data platforms, including developing trusted, reusable data capabilities and applying data governance principles across data quality, lineage, ownership, privacy, and access controls.
- Experience with modern data engineering technologies such as Python or Scala, SQL, Spark, Kafka, Airflow, AWS services, and Snowflake or comparable platforms.
- The opportunity to be part of the leading global company in creator commerce
- A remote-first, productivity-first environment
- Competitive compensation and benefits package to meet the needs of you and your family
- 401(k) with LTK company matching
- Medical Insurance, Vision Insurance, Dental Insurance
- Paid Maternity Leave and Paid Paternity Leave
- Summer Fridays and Flexible PTOFor temporary full-time employees, benefits eligibility may vary
Founded in 2011, LTK is the global technology platform purpose-built to empower lifestyle creators to monetize their content. The full-service platform connects brands, creators, and shoppers with a world-class shopping app and trusted tools and technology that make content instantly shoppable. Today, premium lifestyle creators in 160+ countries drive more than $5 billion+ in annual retail sales through their LTK Shop profiles. More than 40 million consumers turn to LTK Shops in the LTK shopping platform each month to find inspiration and instantly shop the styles recommended by their favorite creators. More than 8,000 retailers and 1M brands partner with LTK to gain access to its global creator network for content that converts against performance-driven, cross-channel KPIs. LTK is headquartered in Dallas, TX, and currently operates on five continents.
To empower the world’s premium lifestyle Creators to achieve maximum economic success.
- Here to win
- Commit to the journey
- Work well
LTK believes diversity, equity, and inclusion are fundamental obligations that strengthen our team. We employ a diverse, multi-disciplinary team to build a meaningful company and culture.
For US-Based Roles: We are not offering new sponsorships opportunities at this time for persons requiring employment visas, such as an H-1B;authorization to work in the U.S. is a precondition of employment.
Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of LTK are considered the property of LTK and are not subject to payment of agency fees
LTK is an Equal Opportunity Employer.
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