We are seeking an experienced Data Architect to lead our data engineering efforts. As a key member of our team, you will be responsible for shaping the future of data engineering.
Key Responsibilities :
- Broaden your horizons and expand your knowledge on modern data modeling challenges
- Prioritize feature delivery with minimal disruption
- Develop large-scale data initiatives
You'll be part of a fast-growing team, utilizing innovative tools and technologies to drive business success.
Requirements :
10+ years of experience in Data Engineering with 4+ years leading teamsStrong coding expertise : Python, JVM, Shell scripting with production-grade experience5+ years in cloud-native applications with mandatory AWS expertiseProven experience in Data Warehouse design & development using modern DW toolsHands-on with Databricks and dbt (mandatory)Expert in Airflow (workflow orchestration)Strong experience building Spark applicationsDeep understanding of file formats : Parquet, Delta Lake, OTFsProficiency in building CI / CD pipelines (GitHub Actions, Jenkins, or ArgoCD)Solid knowledge of unit testing & test automation frameworksDesirable Skills :
Familiarity with containerization (Docker / Kubernetes)Hands-on with IaC tools (Terraform, CDK, or CloudFormation)Exposure to observability systems (Datadog, Prometheus, Grafana)Soft Skills :
Lead & mentor a team of engineersDrive client communication, requirement gathering, and roadmap planningIdentify risks and provide mitigation strategiesConduct PR reviews & guide best practicesStrong documentation & communication skillsProactive mindset focused on delivering business value