
Leading Data Architect
7 days ago
As a Principal Data Engineer, you will play a pivotal role in shaping the architecture and mentoring senior engineers.
This position involves building a holistic roadmap for data warehouse offerings, solving complex data modeling challenges, and ensuring smooth delivery of features.
You will be part of a fast-growing, innovative team driving large-scale data initiatives. The ideal candidate should have 10+ years of experience in Data Engineering with 4+ years leading teams.
">- Key Skills & Qualifications
- Strong coding expertise: Python, JVM, and Shell scripting with production-grade experience.
- 5+ years in cloud-native, data-intensive applications with mandatory AWS expertise.
- Proven experience in Data Warehouse design & development using modern DW tools.
- Hands-on with Databricks and dbt (mandatory).
- Expert in Airflow (workflow orchestration).
- Strong experience building & maintaining Spark applications.
- Deep understanding of file formats: Parquet, Delta Lake, OTFs.
- Proficiency in building CI/CD pipelines (GitHub Actions, Jenkins, or ArgoCD).
- Solid knowledge of unit testing & test automation frameworks.
Benefits
The ideal candidate must lead & mentor a team of 4–5 Sr. Engineers, drive client communication, requirement gathering, and roadmap planning.
The role requires identifying risks and providing mitigation strategies, conducting PR reviews & guiding best practices, and possessing strong documentation & communication skills.
A proactive, business-value-oriented mindset is necessary for this position. Lead and mentor top engineering talent, build & optimize cutting-edge data platforms with modern cloud-native technologies, and influence architecture and business-aligned tech roadmaps.
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