Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Senior Manager, Engineering, Data Engineering
Reads like a Data Leadership role: running a data team.
United States
Live, first seen by us 18 days ago- Pay
- Pay not listedSimilar roles state $154K–$225K
- Work setting
- Not stated
- Employment
Full-time — employment source
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
Read the full posting
Before you apply
- Work authorization
- Must already have the right to work in the US
For US-Based Roles: We are not offering new sponsorships opportunities at this time for persons requiring employment visas, such as an H-1B
What you’ll work on
Full postingThe 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.
Lead, coach, and develop a team of data and software engineers
Define technical direction for data architecture, pipelines, and storage
Build scalable, reusable data models shared across business domains
Lead platform modernization, data quality, and critical metric migration
Set standards for data quality, reliability, security, and cost
From the employer’s posting
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.
Lead, coach, and develop a team of data and software engineers
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
Lead execution of key data engineering initiatives, including platform modernization, analytics enablement, data quality improvements, and migration of critical metrics to trusted sources.
Establish and maintain standards for data quality, reliability, observability, security, performance, and cost efficiency.
Education & alternatives
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.
About LTK USA
Founded in 2011, LTK is the global technology platform purpose-built to empower lifestyle creators to monetize their content.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 17, 202618 days ago
- Recorded sightings
- 25
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Oct 15, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 18
Similar jobs usually come down between day 7 and day 53.
From 7,814 similar postings that came down. Coming down is not always a hire.
LTK USA is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Scala
- SQL
- AWS
- Kafka
- Snowflake
- Spark
- Airflow
Where the posting names them
- 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
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
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 details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
United States
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
More source context
- 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
More relevant text appears in the full description.
- Work authorization
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.