Description

Key Skills: PySpark, Python, SQL, Microsoft SQL Server (MS SQL), Data Engineering, Solution Architecture, Data Modeling, Enterprise Data Platforms, Data Governance, Data Pipeline Design, Architecture Review, Platform Optimization

Roles & Responsibilities:

• Lead architecture and solution design for enterprise data platforms and data-driven applications.
• Translate business requirements into scalable, secure, and execution-ready data solutions.
• Design end-to-end data architectures including data ingestion, processing, storage, serving, cataloging, and lifecycle management.
• Optimize platform architecture for security, governance, compliance, reliability, and cost efficiency.
• Design and optimize large-scale data processing pipelines using PySpark.
• Collaborate with data engineering teams to validate, implement, and operationalize architecture solutions.
• Conduct architecture reviews and evaluate proof-of-concepts for production readiness and compliance.
• Provide technical leadership, mentoring, and hands-on support to engineering teams.
• Identify and mitigate technical debt while driving continuous improvement initiatives.
• Ensure scalability, performance optimization, and observability across enterprise data platforms.

Experience:

• 8-12 years of relevant experience in Data Engineering, Solution Architecture, and enterprise platform leadership.
• Strong experience in architecting and implementing enterprise-scale data platforms.
• Hands-on experience with PySpark for large-scale data processing and optimization.
• Strong programming expertise in Python and advanced SQL development.
• Experience with Microsoft SQL Server for data modeling, integration, and querying.
• Experience in designing scalable, secure, and high-performing data architectures.
• Hands-on experience with architecture reviews, proof-of-concepts, and production deployments.
• Strong understanding of data governance, compliance, and best practices in platform design.

Education: B.E., B.Tech, or B.Tech-M.Tech (Dual) in Computer Science, Computer Science Engineering, Information Science, or related field

Key Skills

Education

Any Graduate