Note: The job is a remote job and is open to candidates in USA. OpenSesame is a company focused on upgrading employee skills through training courses and strategic partnerships. They are seeking a Data Engineering Lead to guide a data engineering team in building an AI-ready data foundation and improving data governance and accessibility across the company.
Responsibilities
- Develop a comprehensive understanding of OpenSesame’s current data ecosystem, governance practices, reporting dependencies, and analyst workflows
- Conduct a full assessment of existing pipelines, warehouse architecture, data quality gaps, lineage visibility, and AI-readiness constraints
- 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
- 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
- Introduce monitoring, alerting, and documentation standards that improve reliability and analyst trust in shared datasets
- Mentor the Data Engineers through structured technical reviews, backlog prioritization, and development planning while improving delivery velocity and reducing operational bottlenecks for analyst requests
- 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
- Establish company-wide standards for data ownership, quality monitoring, lineage tracking, and access management
- 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
- Deliver a scalable and extensible data platform capable of supporting advanced analytics, machine learning experimentation, and AI-powered business initiatives
- Establish governance processes that enable self-service analytics while maintaining strong security and data quality standards
- 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
Skills
- Proven examples from your career that show you can build brands, create scalable systems, and drive measurable marketing impact
- Ability to develop a comprehensive understanding of current data ecosystems, governance practices, reporting dependencies, and analyst workflows
- Experience in assessing existing pipelines, warehouse architecture, data quality gaps, lineage visibility, and AI-readiness constraints
- Skills in designing and implementing foundational architecture for an AI-ready data platform, including standardized ingestion patterns, governance controls, metadata management, and scalable transformation frameworks
- Experience in introducing monitoring, alerting, and documentation standards that improve reliability and analyst trust in shared datasets
- Ability to mentor Data Engineers through structured technical reviews, backlog prioritization, and development planning
- Experience in launching Data Governance & Accessibility programs by delivering production-ready, well-documented pipelines and certified datasets
- Skills in establishing company-wide standards for data ownership, quality monitoring, lineage tracking, and access management
- Ability to deliver a scalable and extensible data platform capable of supporting advanced analytics, machine learning experimentation, and AI-powered business initiatives
- Experience in creating governance processes that enable self-service analytics while maintaining strong security and data quality standards
- Ability to create a high-performing engineering culture centered on technical excellence, operational discipline, and continuous improvement
Benefits
- Comprehensive benefits package to employees upon hire
- Professional development
- ISOs
- Health insurance
- 401(k) matching
- Paid time off
- Comprehensive medical, dental, and vision coverage
- Flexible PTO
- 401(k) matching
- Incentive stock options
- Volunteer time off
- Employee Resource Groups
- Generous professional development program with dedicated annual time off for learning and growth
- We operate as a remote-first company and invest in all-company in-person meetings several times a year.
Company Overview