Sr Data Engineering Manager (Remote)
Jobgether
About the role
About the Role
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Manager Data Engineering - REMOTE. In this role, you will play a crucial part in shaping our data strategy and ensuring the reliability of our data models and pipelines. Your deep technical expertise combined with strong leadership skills will allow you to mentor teams, implement the latest data technologies, and drive operational excellence. You will be at the forefront of enhancing our data architecture, working closely with various departments to align data practices with business needs. The ideal candidate will not only manage teams but will also engage in hands-on technical work, ensuring the ongoing development of scalable data solutions.
Accountabilities
- Manage and guide data teams to execute on enterprise data strategy.
- Provide technical guidance and mentor team members on data technologies.
- Design end-to-end data processing for enterprise data warehousing.
- Build scalable data pipelines for data loading.
- Automate data operations for efficiency.
- Ensure high reliability and performance of data pipelines.
- Collaborate with engineering teams to optimize data solutions.
Requirements
- BS in Computer Science or equivalent; MS preferred.
- 5-10 years of experience in people management, particularly in data and analytics.
- Proven experience in redesigning data pipelines and enterprise data models.
- Mastery of modern data modeling patterns.
- Strong expertise in SQL, Python, and tools like Informatica and DBT.
- Experience with Lakehouse/Warehouse technologies.
- Commitment to automation and engineering best practices.
- Experience leveraging GenAI/LLMs to solve complex problems.
Benefits
- Competitive compensation.
- Flexibility to work from anywhere in the United States.
- Paid time off including vacation, sick leave, and holidays.
- Incentive bonus programs.
- Comprehensive health benefits including medical, dental, and vision.
- 401(k) retirement plan with company match.
- Opportunities for professional development and education assistance.
- Engaging and collaborative work environment.
- Recognition programs for employee achievements.
- Health and wellbeing resources.
Why Apply Through Jobgether?
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.
Requirements
- Proven experience in redesigning data pipelines and enterprise data models.
- Mastery of modern data modeling patterns.
- Experience with Lakehouse/Warehouse technologies.
- Commitment to automation and engineering best practices.
- Experience leveraging GenAI/LLMs to solve complex problems.
Responsibilities
- Manage and guide data teams to execute on enterprise data strategy.
- Provide technical guidance and mentor team members on data technologies.
- Design end-to-end data processing for enterprise data warehousing.
- Build scalable data pipelines for data loading.
- Automate data operations for efficiency.
- Ensure high reliability and performance of data pipelines.
- Collaborate with engineering teams to optimize data solutions.
Benefits
Skills
Don't send a generic resume
Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.
Get started free