Principal Architect, Data Architecture & Design

About the role

The Principal Technical Architect provides technical leadership for complex data and analytics solutions across multiple programs and business domains. The role translates business strategy into scalable, secure and maintainable technology solutions, working closely with engineering, product, governance and business teams. It is a hybrid position based in Gurugram.

Key responsibilities

• Define and drive solution architecture strategies, standards and reference patterns for enterprise Data & Analytics initiatives.
• Lead the design of scalable, secure, high-performing data solutions, including blueprints, technical designs, integration frameworks and data models.
• Establish reusable architecture patterns and reference implementations for data ingestion, transformation, storage and consumption.
• Partner with Product, Engineering and Business stakeholders to turn strategic priorities into technical roadmaps and phased implementation plans.
• Evaluate emerging technologies and platforms, and recommend approaches that drive innovation and long-term value.
• Conduct architecture, design and technical quality reviews covering scalability, reliability, security, performance and maintainability.
• Work with Data Governance and Security teams to embed data privacy, compliance, access controls and risk management.
• Lead proof-of-concepts and technology evaluations for advanced analytics, cloud platforms, AI-driven capabilities and next-generation data architectures.
• Mentor engineers and architects and promote architectural best practices.

Required profile

• Bachelor's degree in Computer Science, Engineering, Information Systems or a related field.
• 10-14 years of experience in Data Engineering, Solution Architecture or Technical Architecture roles, with a track record of architecting large-scale enterprise data and analytics platforms.
• Proven ability to influence architectural decisions and build consensus across engineering, product, governance and executive stakeholders without direct authority.

Required skills

• Cloud architecture (Azure, AWS, GCP) and TOGAF certifications are highly desirable.
• Deep knowledge of Azure, Databricks, Lakehouse architectures and enterprise-scale data platforms.
• SQL, Python, data modeling, ETL/ELT, CDC, dimensional modeling and scalable data architecture patterns.
• Experience integrating enterprise systems such as SAP, Oracle, JDE or Salesforce.
• API-driven, event-based and cloud-native architectures, including DevOps, CI/CD, infrastructure-as-code and observability.