Want to get hired at Talentify.io?
Engineering Manager, Technical Operations - Data & Cost Optimization
Talentify.io
HybridHybrid
Original Job Summary
Why Consider This Job Opportunity
Enjoy a competitive salary up to $215,000 per year, bonus eligibility, equity grants, comprehensive wellness programs, and a remote-friendly, flexible work culture. Professional growth and development accompany this Great Place to Work Certified™ opportunity.
What To Expect (Job Responsibilities)
- Provide strategic leadership to empower a team of data engineers.
- Drive cost optimization across data infrastructure and efficiency measures.
- Oversee design and implementation of scalable pipelines, ETL processes, and analytics solutions.
- Manage resource allocation, budgeting, and forecasting for projects.
- Develop KPIs and metrics for performance and cost optimization success.
What Is Required (Qualifications)
- Bachelor's degree in Computer Science, Engineering, or related field; Master's preferred.
- 7+ years in data engineering/analytics with 3+ years in management.
- Strong understanding of data pipeline architectures, cloud infrastructure, and cost optimization.
- Experience in managing budgets, AWS, GCP, Azure, OCI environments, Apache Airflow, DBT, and SQL.
How To Stand Out (Preferred Qualifications)
- Background in cybersecurity or handling security-related data.
- MBA or advanced degree in a quantitative field.
- Proven record of significant cost-saving initiatives in data infrastructure.
- Experience speaking at industry conferences or publishing on data engineering topics.
Key skills/competency
- cybersecurity
- cost optimization
- data engineering
- cloud infrastructure
- leadership
- AWS
- analytics
- ETL
- pipelines
- management
How to Get Hired at Talentify.io
🎯 Tips for Getting Hired
- Research Talentify.io culture: Study mission, values, and latest news.
- Customize your resume: Highlight data engineering and cost optimization experience.
- Showcase leadership: Emphasize team empowerment and management skills.
- Prepare cloud examples: Detail AWS, GCP, Azure, OCI projects.
📝 Interview Preparation Advice
Technical Preparation
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Review data pipeline architectures.
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Study cloud cost optimization methods.
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Practice ETL process setup.
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Refresh SQL and Apache Airflow skills.
Behavioral Questions
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Describe managing remote teams.
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Explain cost optimization challenges.
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Discuss leadership in data projects.
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How do you empower team autonomy?