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Lead Engineering Manager, Data
Location
United States
Posted
15 days ago
Salary
Not specified
No structured requirement data.
Job Description
Role Description
This role involves leading an innovative team responsible for enhancing the data lifecycle that supports machine learning processes.
- Set and execute the technical strategy aligned to metrics such as increasing data evaluation velocity.
- Establish clear end-to-end ownership across the data lifecycle.
- Accelerate third-party data onboarding through standardized practices.
- Drive data quality frameworks to prevent launch issues.
- Unlock internal data for ML innovation by improving metadata coverage.
- Champion a company-wide shift towards data contracts and SLAs.
- Build and lead a high-performing team in data integration and infrastructure.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or Mathematics, or related field.
- 8 years of engineering experience, with 3 years in a management role.
- Proven experience in building and scaling data platforms for ML workflows.
- Demonstrated ownership of cross-functional engineering initiatives.
- Experience designing and enforcing data quality frameworks and SLAs.
- Strong technical foundation in modern data stacks and architectures.
Benefits
- Competitive compensation package including salary, bonuses, and equity grants.
- Generous 401(k) with matching contributions.
- Employee Stock Purchase Plan (ESPP) with discounts on stock.
- Affordable medical, dental, and vision coverage.
- Health Savings Account contributions.
- Paid time off, family leave, and company holidays.
- Annual wellness and productivity allowances.
- Employee Assistance Program (EAP) for mental health support.
Job Requirements
- Bachelor’s degree in Computer Science, Engineering, or Mathematics, or related field.
- 8 years of engineering experience, with 3 years in a management role.
- Proven experience in building and scaling data platforms for ML workflows.
- Demonstrated ownership of cross-functional engineering initiatives.
- Experience designing and enforcing data quality frameworks and SLAs.
- Strong technical foundation in modern data stacks and architectures.
Benefits
- Competitive compensation package including salary, bonuses, and equity grants.
- Generous 401(k) with matching contributions.
- Employee Stock Purchase Plan (ESPP) with discounts on stock.
- Affordable medical, dental, and vision coverage.
- Health Savings Account contributions.
- Paid time off, family leave, and company holidays.
- Annual wellness and productivity allowances.
- Employee Assistance Program (EAP) for mental health support.
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