Sr Manager, Engineering, Data Engineering

LTK USA
United States
RemoteCareer-pivot friendly

Who this role is best for

A natural match if you have 8+ years in data engineering and experience leading high-performing teams.

Best fit for

  • Candidates with 8+ years in data engineering and a track record of leading inclusive, high-performing teams
    — “8+ years of experience in data engineering, platform engineering, or backend engineering.”
  • Individuals who have successfully balanced long-term platform investments with near-term delivery
    — “balance near-term delivery with long-term platform investments”
  • Professionals with a background in building scalable, reusable data models and governance frameworks
    — “Guide the development of scalable, reusable data models and shared capabilities that support multiple business domains”

Things to consider

  • The role requires a strong ability to navigate ambiguous priorities and align technical and business teams
    — “the ability to navigate ambiguity, prioritize competing needs, and build alignment across technical and business teams”
  • Remote-first setup may require self-directed work habits and strong communication across distributed teams
    — “Remote from the U.S.”

How to stand out

  • Highlight experience in defining and executing data engineering roadmaps with measurable outcomes
    — “Experience owning technical roadmaps and leading complex engineering initiatives”
  • Emphasize your background in cloud platforms, data pipelines, and data governance
    — “data architecture, modeling, ingestion, transformation, storage, APIs, and governance”
  • Showcase leadership in improving team practices like incident management and technical design
    — “Establish effective team practices for planning, technical design, delivery, incident management, and continuous improvement”
  • Demonstrate your ability to manage technical risks and resolve dependencies in large-scale systems
    — “Proactively identify and manage technical and delivery risks, resolve dependencies”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • lead data engineering team
  • evolve data ecosystem
  • translate business priorities
Typical background
data engineeringplatform engineeringbackend engineering

Skills & requirements

Required

Data ArchitectureData PipelinesData GovernanceTeam LeadershipTechnical Direction

Preferred

AI Use Cases

Stack & domain

Data EngineeringData ArchitectureData PipelinesData ProductsData QualityPlatform ReliabilityData ModelingData IngestionData TransformationData StorageApisData GovernanceData EcosystemData CapabilitiesData ReusabilityData TrustData PlatformsData ModernizationData AnalyticsData Quality ImprovementsData MigrationData MetricsData SecurityData PrivacyData LegalData TPMOData Engineering LeadershipData Team LeadershipData Team DevelopmentData Team Succession PlanningData Team Technical DirectionData Team PlatformsData Team CapabilitiesData Team ScalabilityData Team ReliabilityData Team EfficiencyData Team SustainabilityData Team PracticesData Team PlanningData Team Technical DesignData Team DeliveryData Team Incident ManagementData Team Continuous ImprovementData Team Technical OwnershipData Team AutomationData Team DocumentationData Team ReusabilityData Team Clear Technical OwnershipLeadershipTechnical JudgmentBusiness AcumenComplex PrioritiesActionable PlansNear-term DeliveryLong-term Platform InvestmentsHigh-performing TeamInclusive TeamBusiness PrioritiesClear RoadmapsDelivery MilestonesTechnical TradeoffsPlatform ModernizationAnalytics EnablementCritical MetricsTrusted SourcesResource PlanningInvestment PrioritiesOrganizational NeedsCompeting Business DemandsReliabilityObservabilitySecurityPerformanceCost EfficiencyEngineering EfficiencyPlatform SustainabilityAutomationDocumentationReusable PracticesTechnical OwnershipTeam PracticesPlanningTechnical DesignDeliveryIncident ManagementContinuous ImprovementTechnical RisksDependenciesStakeholder CommunicationDecisionsTradeoffsRecommendations

About the role

Original posting from LTK USA via Greenhouse

LTK’s mission is to empower the world’s premium lifestyle Creators to achieve maximum economic success. We have a huge opportunity ahead of us and we’re looking for team members who want to create, innovate and disrupt an industry. 

We empower our team members to drive innovation, create value, and continue to spearhead the creation of this industry — a game changer when it comes to career growth.

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

 #LI-Remote #LI-CW1 

About the role

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.

How you will make an impact

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.

What you will bring to LTK

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.

Nice to Have

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.

What we offer for full-time salaried employees

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 PTO

For temporary full-time employees, benefits eligibility may vary

About LTK

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.

Our mission

To empower the world’s premium lifestyle Creators to achieve maximum economic success.

Our values

Here to win

Commit to the journey

Work well

Commitment to diversity

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. #LI-Remote

Source: LTK USA careers (Greenhouse)

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