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Data Engineering Lead

June 2, 2026

About OpenSesame While it appears to most people that we just sell training courses (over 50,000 of them), what we really offer is the opportunity for companies to upgrade the skills of each of their employees and reinvent their workforce in an AI world. We have strategic partnerships with 150+ Global 2000 companies who rely on our training programs to develop the world's most productive and admired workforces. Now we are building what comes next. About the Team The Data Engineering Manager will guide a lean and focused data engineering team. The team’s mission is to build and scale an AI-ready data foundation that enables reliable analytics, operational reporting, governance, and future AI initiatives across the company. This role partners closely with analysts, business leaders, platform teams, and data consumers company-wide to improve accessibility, trust, and usability of enterprise data assets. About the Role This role owns the Data Governance & Accessibility program and serves as the technical leader responsible for designing scalable data architecture, improving pipeline reliability, mentoring data engineers, and enabling analysts through robust, specialized data solutions. Success in this role requires balancing hands-on technical leadership with strategic planning, cross-functional influence, and operational excellence. Performance Objectives 30 Days <ul> <li>Develop a comprehensive understanding of OpenSesame’s current data ecosystem, governance practices, reporting dependencies, and analyst workflows. </li> <li>Conduct a full assessment of existing pipelines, warehouse architecture, data quality gaps, lineage visibility, and AI-readiness constraints.</li> <li>Establish working relationships with analytics stakeholders across departments and create a prioritized roadmap for improving governance, accessibility, and platform scalability while aligning the two-person engineering team around delivery standards and operating rhythms.</li> </ul> 60 Days <ul> <li>Design and begin implementing the foundational architecture for an AI-ready data platform, including standardized ingestion patterns, governance controls, metadata management, and scalable transformation frameworks. </li> <li>Introduce monitoring, alerting, and documentation standards that improve reliability and analyst trust in shared datasets. </li> <li>Mentor the Data Engineers through structured technical reviews, backlog prioritization, and development planning while improving delivery velocity and reducing operational bottlenecks for analyst requests.</li> </ul> 90 Days <ul> <li>Launch the first phase of the Data Governance & Accessibility program by delivering production-ready, well-documented pipelines and certified datasets that support multiple business functions.</li> <li> Establish company-wide standards for data ownership, quality monitoring, lineage tracking, and access management.</li> <li>Demonstrate measurable improvements in analyst efficiency, data reliability, and pipeline performance while creating a sustainable technical mentorship model that elevates engineering quality, promotes knowledge sharing, and prepares the organization for future AI and advanced analytics initiatives.</li> </ul> 6 Months <ul> <li>Deliver a scalable and extensible data platform capable of supporting advanced analytics, machine learning experimentation, and AI-powered business initiatives.</li> <li>Establish governance processes that enable self-service analytics while maintaining strong security and data quality standards. </li> <li>Create a high-performing engineering culture centered on technical excellence, operational discipline, and continuous improvement, with clear ownership models and repeatable delivery practices across the data organization.</li> </ul> Success in the Role Looks Like <ul> <li>Analysts across the company can reliably access trusted, well-documented datasets with minimal engineering intervention.</li> <li>Data pipelines operate with strong observability, measurable SLAs, and reduced operational failures.</li> <li>Governance standards are consistently applied across core business domains.</li> <li>The data platform is structured to support future AI and machine learning initiatives without major architectural redesign.</li> <li>The engineering team demonstrates improved delivery consistency, technical maturity, and collaborative execution.</li> <li>Stakeholders view the data organization as a strategic enabler rather than a reactive support function.</li> </ul> You might notice we don’t list a traditional set of requirements or buzzwords here. That’s intentional. We’re looking for proven examples from your career that show you can build brands, create scalable systems, and drive measurable marketing impact. When you look back a year from now, you’ll know you’ve elevated OpenSesame’s brand and strengthened its market presence. Location: This position can be based anywhere in the US. We operate as a remote-first company and invest in all-company in-person meetings several times a year. Performance Driven: We're looking for self-starters with a track record of delivering excellent results, but we're highly selective about who we hire. We don't focus on typical job requirements; instead, we're interested in specific examples from your past experiences. All positions can be based anywhere in the US, and require up to 15 days of travel per year, with senior management and leadership teams requiring up to 35 days. Compensation: The salary for this role range between $150,000 - $170,000 per year, depending on experience. At OpenSesame, we offer a comprehensive benefits package to employees upon hire, including professional development, ISOs, health insurance, 401(k) matching, and paid time off. We carefully consider a wide range of compensation factors, relying on market data to determine compensation and consider your specific job family, background, skills, and experience. We prioritize pay transparency, fairness, and equity to create a positive and inclusive work environment, regularly reviewing our compensation practices to align with our values and goals. Equal Employment Opportunity: OpenSesame is an Equal Employment Opportunity and Affirmative Action employer that values and welcomes diversity. We do not discriminate on the basis of various legally protected characteristics, including criminal history, and strive to provide reasonable accommodations to qualified individuals with disabilities. We prioritize safety and security and may use your information accordingly, and you can contact us for assistance or accommodations during the job application process. Pay Transparency: At OpenSesame, we prioritize pay transparency, fairness, and equity to create a positive and inclusive work environment, regularly reviewing our compensation practices to align with our values and goals. We provide competitive and fair compensation to our employees based on their skills, experience, and performance. CPRA (California Candidates): When you submit your application, OpenSesame may collect and use your personal information in accordance with our privacy policy and the CPRA. This may include personal details and employment history, and will only be used for employment-related purposes. We may share this information with third-party service providers, but we will not sell it to third parties. If you have any questions or concerns, please contact us, and for more information on your rights under the CPRA, refer to our<a href="https://www.opensesame.com/privacy"> privacy policy</a> or the California Attorney General's website. We Care About Your Security: We’ve been made aware of a phishing scam involving individuals impersonating OpenSesame recruiters. All legitimate communication from our team will come from @opensesame.com email addresses. If you receive a suspicious message, please contact us directly at careers@opensesame.com. Your security matters to us — thank you for staying vigilant

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...