Remote Senior Director, Data Platform Engineering

Ladders; United States; Remote; USD 261,000 - 357,000; Full time

Benefits offered by this job

Bonuses and equity grants

401(k) with company match

Medical, dental, and vision coverage

Paid family leave

Mental health resources

Financial wellness tools

Job summary

Ladders is seeking a Senior Director of Data Platform Engineering to guide the strategy and execution of a shared data platform that supports engineering teams and strengthens data pipeline reliability. The role will partner with engineering and cross-functional stakeholders to modernize data architecture, reduce technical debt, and align infrastructure priorities with business needs.

The position focuses on developing engineering leaders, establishing strong operating practices, and scaling the

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
• 10+ years of experience, including 5+ years in people management.
• Proven experience leading data engineering teams.
• Experience building shared data platforms for engineers.
• Experience creating roadmaps for large-scale data infrastructure.
• Experience modernizing data infrastructure and reducing debt.

Responsibilities

• Lead data platform organization, improving data pipeline reliability.
• Set strategic direction and roadmap for data infrastructure.
• Modernize data architecture in collaboration with engineering teams.
• Develop engineering leaders and establish operating practices and standards.
• Collaborate across departments to meet data needs and enhance the ecosystem.

Skills

Leadership

Data platform strategy

Roadmap planning

Cross-functional collaboration

Data pipeline reliability

Education

Bachelor's degree or higher

Job description

Ladders is seeking a Senior Director of Data Platform Engineering to guide the strategy and execution of a shared data platform that supports engineering teams and strengthens data pipeline reliability. The role will partner with engineering and cross-functional stakeholders to modernize data architecture, reduce technical debt, and align infrastructure priorities with business needs.

The position focuses on developing engineering leaders, establishing strong operating practices, and scaling the