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Eucloid - Principal Data Engineer - Python/Scala

Actively Reviewing the Applications

Eucloid Data Solutions

India, Tamil Nadu, Chennai Full-Time On-site
Posted 2 weeks ago • Apply by June 4, 2026

Job Description

Job Description

We are seeking a highly experienced Principal Data Engineer / Senior Data Architect to lead the design, architecture, and scalability of modern data platforms. This role requires deep expertise in building enterprise-grade data ecosystems across cloud, real-time, batch, governance, and AI-ready infrastructure. You will own the end-to-end data architecture vision from ingestion and transformation to analytics, ML enablement, governance, and cost optimization.

Key Responsibilities Architecture & Platform Design

  • 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 TB-PB 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

(ref:hirist.tech)

Required Skills

Engineering Leadership Python SQL Data Modeling AWS/Azure/GCP AWS Scala Snowflake Microsoft Azure Kafka Azure Encryption Apache Kafka Airflow Databricks ETL Data Engineering CI/CD Apache Analytics Data quality Governance Cost optimization Data architecture Data strategy Web Services Consulting Architecture design Data models Data processing Modeling RBAC Data platforms Security frameworks Data Vault Data pipelines Event-driven Data Standards Advanced Analytics Distributed Systems Cloud environments Data Masking Data Architecture Design GenAI Observability Batch Lakehouse Dimensional ELT Vault AI/ML Modern Data Stack
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