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Eucloid Data Solutions Linkedin · Posted 4mo ago

Principal Data Engineer

India

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Indexed 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 optimisation.

The Candidate Will Have Responsibilities Across The Following Functions

Data Architecture and 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 And Implementation Leadership

  • Build high-performance ETL/ELT pipelines (batch + streaming)
  • Architect real-time data pipelines using event-driven systems
  • Optimise large-scale distributed data processing systems
  • Implement CI/CD for data engineering workflows
  • Ensure reliability, scalability, and observability

Cloud And Modern Data Stack Expertise

  • Hands-on experience with Amazon Web Services, Microsoft Azure, or Google Cloud
  • Strong expertise in Databricks, Snowflake, Apache Kafka, and Airflow.

Analytics And AI Enablement

  • Design data platforms optimised 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 And Cost Optimisation

  • Implement RBAC, encryption, and data masking
  • Design cost-aware architectures
  • Monitor usage and optimise cloud spend
  • Define data SLAs and reliability frameworks.

Leadership And 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.

Requirements

  • 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 modelling (dimensional + data vault).
  • Experience with real-time and streaming architecture.
  • Experience leading technical teams.
  • 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.

This job was posted by Eucloid Careers from Eucloid Data Solutions.
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