Note: The job is a remote job and is open to candidates in USA. Daman is seeking an experienced Data Engineering Lead / Manager to guide its data platform team and design scalable data architecture. The role combines technical leadership with hands-on management of secure, reliable, and high-performance data systems across cloud, data platform, infrastructure-as-code, and container orchestration environments.
Responsibilities
- Team & Project Leadership: Manage and mentor a team of data engineers, setting technical standards, conducting code reviews, and prioritizing delivery roadmaps
- Data Platform Architecture: Architect, scale, and maintain enterprise data lakes and warehouses using Databricks or Snowflake
- Cloud Infrastructure: Design and optimize cloud data pipelines on AWS or Azure , ensuring cost efficiency, high availability, and performance
- Infrastructure as Code (IaC): Automate environment provisioning, deployments, and infrastructure management using Terraform
- Containerization & Orchestration: Deploy, scale, and manage containerized data applications and orchestration workflows on Kubernetes
- Governance & Reliability: Enforce data quality standards, security policies, access controls, and robust CI/CD pipelines across all environments
Skills
- Experience: Required in Data Engineering, with at least 2-4 years in a team lead or managerial capacity
- Data Stack: Proven expertise in Databricks (Delta Lake, PySpark) or Snowflake
- Cloud Platforms: Hands-on proficiency with AWS (S3, EKS, Glue, IAM) or Azure (ADLS, AKS, Data Factory)
- DevOps & IaC: Strong production experience writing modular infrastructure code with Terraform
- Containerization: Hands-on experience managing and deploying clusters via Kubernetes
- Core Skills: Fluency in Python , SQL , advanced data modeling, and modern CI/CD practices
Benefits
- 100% remote work
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