We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Manager, Data Engineering
Location
United States
Posted
7 days ago
Salary
Not specified
Job Description
Role Description
This role involves leading a dynamic data engineering team dedicated to developing innovative solutions grounded in AI technologies. Your leadership will be instrumental in shaping IT architecture that aligns with business needs while enhancing analytics capabilities.
- Lead the data engineering team and manage all associated activities.
- Drive the development of data architecture leveraging AI innovations.
- Implement data engineering templates and architectures for optimized performance.
- Collaborate with product and architecture teams to enhance data strategies.
- Stay updated on AI trends to enhance team performance and relevance.
- Manage internal stakeholders and represent the organization to clients as needed.
- Oversee team performance evaluations and professional development initiatives.
- Define results and take action to meet organizational objectives.
Qualifications
- Bachelor’s degree or equivalent work experience.
- 7+ years of experience in data engineering/IT/Project Management, including management experience.
- 2+ years leading projects with proven project management methodologies.
- Experience with data integration/ETL tools like databricks, Hadoop, and AWS tech stack.
- Familiar with AI engineering concepts and tools.
- Proficiency in software development and database management.
- Excellent communication and interpersonal skills.
Requirements
- Competitive salary ranging from $130,000 to $165,000.
- Discretionary bonus eligibility.
- Comprehensive benefits package including medical, dental, and vision.
- 401(k) savings plans.
- Generous paid time off policies.
- Flexible remote working conditions.
Benefits
- Competitive salary ranging from $130,000 to $165,000.
- Discretionary bonus eligibility.
- Comprehensive benefits package including medical, dental, and vision.
- 401(k) savings plans.
- Generous paid time off policies.
- Flexible remote working conditions.
Job Requirements
- Bachelor’s degree or equivalent work experience.
- 7+ years of experience in data engineering/IT/Project Management, including management experience.
- 2+ years leading projects with proven project management methodologies.
- Experience with data integration/ETL tools like databricks, Hadoop, and AWS tech stack.
- Familiar with AI engineering concepts and tools.
- Proficiency in software development and database management.
- Excellent communication and interpersonal skills.
- Competitive salary ranging from $130,000 to $165,000.
- Discretionary bonus eligibility.
- Comprehensive benefits package including medical, dental, and vision.
- 401(k) savings plans.
- Generous paid time off policies.
- Flexible remote working conditions.
Benefits
- Competitive salary ranging from $130,000 to $165,000.
- Discretionary bonus eligibility.
- Comprehensive benefits package including medical, dental, and vision.
- 401(k) savings plans.
- Generous paid time off policies.
- Flexible remote working conditions.
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