Eucloid - Principal Data Engineer

Key Responsibilities :

 

- Architect scalable data lakehouse and warehouse platforms

 

- Define canonical data models and domain-driven data architecture

 

- Design medallion (Bronze/Silver/Gold) architectures

 

- Establish data standards, governance, and security frameworks

 

- Evaluate and select cloud-native data tools

 

Engineering & Implementation Leadership :

 

- Build high-performance ETL/ELT pipelines (batch + streaming)

 

- Architect real-time data pipelines using event-driven systems

 

- Optimize large-scale distributed data processing systems

 

- Implement CI/CD for data engineering workflows

 

- Ensure reliability, scalability, and observability

 

Cloud & Modern Data Stack Expertise :

 

- Hands-on experience with Amazon Web Services, Microsoft Azure, or Google Cloud

 

- Strong expertise in Databricks, Snowflake, Apache Kafka, Airflow

 

Analytics & AI Enablement :

 

- Design data platforms optimized for BI and AI workloads

 

- Enable feature stores and ML-ready datasets

 

- Support GenAI and advanced analytics use cases

 

- Ensure high data quality and lineage tracking

 

Governance, Security & Cost Optimization :

 

- Implement RBAC, encryption, and data masking

 

- Design cost-aware architectures

 

- Monitor usage and optimize cloud spend

 

- Define data SLAs and reliability frameworks

 

Leadership & Strategy :

 

- Lead and mentor data engineering teams

 

- Conduct architecture reviews

 

- Partner with product, AI, and business teams

 

- Define long-term data strategy and roadmap

 

- Drive technical excellence and coding standards

 

Required Qualifications :

 

- 8+ years of experience in data engineering / data architecture

 

- Proven experience designing large-scale data platforms

 

- Deep expertise in distributed systems

 

- Strong SQL and Python/Scala skills

 

- Experience handling TBPB scale datasets

 

- Strong understanding of data modeling (dimensional + data vault)

 

- Experience with real-time and streaming architecture

 

- Experience leading technical teams

 

Preferred Qualifications :

 

- Experience in FinTech, SaaS, or enterprise consulting

 

- Experience building data engineering practice from scratch

 

- Exposure to AI/ML infrastructure

 

- Certifications in AWS/Azure/GCP

 

- Experience with multi-cloud environments