
Chief Data Architect
1 week ago
We are seeking an experienced Data Engineering Lead to join our team.
The ideal candidate will have a proven track record of delivering large-scale data engineering projects and leading high-performing teams.
- Bachelor's degree in Computer Science, Engineering, or related field.
- 7+ years of experience in data engineering, with a strong focus on designing and implementing scalable data architectures.
- Proficiency in AWS services, including S3, EC2, Lambda, and API Gateway.
- Experience with data modeling, ETL processes, and data warehousing.
- Familiarity with columnar databases, NoSQL databases, and data lakes.
- Strong understanding of data visualization tools and techniques.
- Excellent analytical and problem-solving skills.
- Able to communicate complex technical ideas to both technical and non-technical stakeholders.
About the Role
This is a key leadership position that requires strategic thinking, excellent communication skills, and the ability to motivate and lead a team.
You will be responsible for designing and implementing data engineering solutions that meet the business needs of our organization.
Responsibilities
- Design and implement scalable data architectures that meet the needs of our business.
- Lead a team of data engineers to deliver high-quality data engineering projects.
- Develop and maintain technical documentation and standards for data engineering practices.
- Collaborate with cross-functional teams to ensure data engineering solutions meet business requirements.
- Stay up-to-date with industry trends and emerging technologies in data engineering.
Benefits
- A competitive salary and bonus structure.
- A comprehensive benefits package, including medical, dental, and vision insurance.
- A generous 401(k) matching program.
- A flexible work-from-home policy.
- Ongoing training and development opportunities.
Requirements
- Bachelor's degree in Computer Science, Engineering, or related field.
- 7+ years of experience in data engineering, with a strong focus on designing and implementing scalable data architectures.
- Proficiency in AWS services, including S3, EC2, Lambda, and API Gateway.
- Experience with data modeling, ETL processes, and data warehousing.
- Familiarity with columnar databases, NoSQL databases, and data lakes.
- Strong understanding of data visualization tools and techniques.
- Excellent analytical and problem-solving skills.
- Able to communicate complex technical ideas to both technical and non-technical stakeholders.
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