Senior Architect, Software Engineering

15 - 20 years

50 - 55 Lacs

Posted:15 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Design and implement data architecture and pipelines using PySpark, Python, and AWS services (Glue, EMR, S3, Redshift, Athena).
  • Modernize legacy systems by converting Java-based migration or ETL scripts into Spark-based solutions.
  • Build and manage data lakes and data warehouses optimized for analytics and AI/ML workflows.
  • Collaborate with data scientists and analysts to enable model training, deployment, and continuous data delivery.
  • Define and document HLD (High-Level Design) and LLD (Low-Level Design) for scalable data systems.
  • Implement standards for data quality, governance, performance optimization, and security.
  • Lead troubleshooting, performance tuning, and architecture reviews for data pipelines.

Skills and Experience

  • 15+ years of experience in data engineering or architecture, with strong hands-on development background.
  • Expert-level proficiency in PySpark, Python, and SQL for data processing and transformation.
  • Strong understanding of AWS data ecosystem including Glue, EMR, S3, Redshift, and Lambda.
  • Proven experience migrating or re-engineering Java-based ETL systems into modern Spark environments.
  • Solid foundation in data lake, data warehouse, and cloud-native architecture design.
  • Experience supporting AI/ML data pipelines and integrating data platforms with ML workflows.
  • Strong documentation skills (HLD, LLD) and ability to communicate architecture clearly to technical and business stakeholders.
  • Experience with both RDBMS such as Maria DB/MySQL and No-SQL database such MongoDB
  • Experience with GIT, Jenkins, & AWS
  • Expertise in performance optimization and cost management for cloud environments
  • Ability to manage multiple projects and priorities in a fast-paced environment
  • AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional

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