
Cloud-Native Data Leader
21 hours ago
As a seasoned Data Platform Engineering Manager, you will lead the development and operations of our modern, cloud-native data and infrastructure platform. This is a strategic and hands-on leadership role, managing a team of data engineers, DevOps specialists, and cloud platform engineers.
Key Responsibilities:
- Data Platform & Engineering:
- Architect, build, and maintain scalable and secure data infrastructure using tools like Apache Hadoop, Hive, Spark, Kafka, Airflow, and Delta Lake.
- Develop robust ETL/ELT pipelines, data models, and streaming data workflows to support analytics, business intelligence, and machine learning use cases.
- Optimize data storage and compute using cloud-native solutions (AWS S3, Redshift, EMR, Glue, Athena, etc.).
- ML & Advanced Analytics Enablement:
- Support Data Science and AI/ML teams by maintaining model pipelines and training infrastructure.
- Enable MLOps frameworks using MLflow, SageMaker, PyTorch, or TensorFlow for seamless experimentation and deployment.
- DevOps & Platform Engineering:
- Lead the design and implementation of robust CI/CD pipelines, version control, testing, and deployment practices.
- Implement Infrastructure as Code (IaC) using Terraform, Ansible, or Pulumi.
Leadership & People Management:
- Hire, coach, and mentor a team of 8–12 data, devops and platform engineers.
- Set clear objectives, track performance, and build a culture of ownership, continuous learning, and innovation.
Required Skills & Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 10+ years of experience in data engineering, DevOps, or infrastructure roles, with at least 3 years in a technical leadership or managerial capacity.
- Strong experience with cloud platforms (AWS preferred), distributed data systems, and large-scale batch + real-time data processing.
Additional Information:
This role requires strong technical expertise, excellent leadership skills, and the ability to collaborate effectively with cross-functional teams. If you are passionate about data-driven decision making and have a proven track record of success in a similar role, we encourage you to apply.
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