Engineering Manager, Data Analytics Platform
6 days ago
We are seeking an experienced Engineering Manager to lead our Data Analytics Platform team. As a key member of our engineering leadership team, you will be responsible for managing a team of engineers who design, develop, and implement high-quality data platforms that drive business growth and revenue.
Your primary focus will be on leading a team of engineers to build scalable, reliable, and secure data systems using modern technologies such as Java, Python, Apache Kafka, and Amazon Web Services (AWS). You will work closely with cross-functional teams to deliver projects on time and within budget.
Key Responsibilities:
- Lead a team of engineers to design, develop, and implement high-quality data platforms
- Collaborate with cross-functional teams to deliver projects on time and within budget
- Develop and maintain accurate, granular, complete, and timely data
Requirements:
- Minimum 8 years of experience in a technical leadership role
- Minimum 10 years of experience in software development using modern technologies
- Experience in leading a team of engineers
- BS. or higher in Computer Science (or equivalent work experience)
Preferred Qualifications:
- Experience with microservice architecture
- Experience with PostgreSQL
- Experience with AWS
- Experience with Snowflake
- Experience with Terraform
- Experience in Financial Services or Fintech
About Goldman Sachs
We commit our people, capital, and ideas to help our clients, shareholders, and communities grow. Founded in 1869, we are a leading global investment banking, securities, and investment management firm. Headquartered in New York, we maintain offices around the world.
Estimated Salary Range: $150,000-$300,000 per year
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