Overview
Senior Digital Architect (Senior Data Solution Architect) providing strategic leadership for the architecture of the Manufacturing and Supply Digital Platform. The role designs enterprise-wide data architecture and reusable data components for applications, analytics, business intelligence, intelligent agents, and digital twin solutions.
What you'll do
- Design and deliver solution architecture artifacts that address business problems and support successful implementation.
- Translate business requirements into scalable data and digital solutions across data, analytics, intelligent agents, and applications.
- Lead solution design activities by mapping business requirements to source data and maintaining traceability through source alignment, transformation logic, and downstream consumption.
- Define and maintain conceptual, logical, and physical data models for operational and analytical use cases.
- Define API and interface models for reliable data exchange across source systems, platforms, and downstream consumers.
- Establish and maintain data contracts with source systems covering data definitions, schema, ownership, quality expectations, delivery timeliness, and change management.
- Own data quality expectations by defining validation rules, controls, reconciliation checks, and monitoring requirements across the data lifecycle.
- Partner with product, engineering, and business teams to evaluate technology options and support adoption of tools and capabilities that improve solution delivery.
- Collaborate across cross-functional teams to ensure solution designs are practical, scalable, supportable, aligned with enterprise standards, and aligned with business outcomes.
- Provide architecture guidance to delivery teams and help resolve design issues related to data integration, source alignment, data modelling, and implementation readiness.
- Leverage innovative NVIDIA technologies to advance digital twin capabilities, simulation, and optimization.
What you'll need
- Progressive career in data engineering, data architecture, or solution architecture, typically 12+ years.
- Demonstrated experience designing and delivering solution architecture for enterprise-scale applications and data platforms in public cloud or hybrid environments.
- Strong experience in data modeling, including physical data modeling, schema design, entity relationships, and optimization for operational and analytical use cases.
- Demonstrated ability to map business requirements to source data, including source system analysis, attribute mapping, data dictionary, transformation design, data lineage, and end-to-end traceability.
- Proven experience owning or driving data quality as part of solution delivery, including validation rules, reconciliation logic, defect identification, and fit-for-purpose data controls.
- Experience establishing and managing data contracts with source systems, including schema alignment, data definitions, quality expectations, latency expectations, and change coordination.
- Strong understanding and practical experience in three or more of the following areas: real-time event and message processing; data lakes and modern data platforms; large-scale data transformation and analytics; IoT edge and cloud data processing; SQL and NoSQL data modeling; integration of operational and analytical systems.
- Good understanding of Agile delivery practices in cloud environments, including environment management, peer review, test automation, CI/CD, and resource optimization.
- Hands-on experience designing or developing solutions in a public cloud environment.
- Familiarity with Agentic AI, AI/ML-enabled solutions, analytics platforms, and data-driven applications.
- Understanding of enterprise data integration patterns and analytical ecosystems.
- Strong collaboration and interpersonal skills, with the ability to guide design discussions, mentor team members, and communicate effectively on complex or sensitive topics.
- Extensive knowledge of technologies, architecture methods, and design practices used to define end-to-end solutions, integration patterns, processing flows, and platform interactions.
- Ability to create solution designs that align with standards and support business and technical needs.
- Strong knowledge of data modelling principles, enterprise data design, and integration patterns.
- Ability to develop logical and physical data models, define scalable data structures, and support both operational (OLTP) and analytical (OLAP) solution needs.
- Good understanding of data quality principles, controls, and governance expectations.
- Ability to define quality requirements, establish validation rules, support issue resolution, and ensure trusted, reliable, and fit-for-purpose data across solutions.
- Strong understanding of how to establish data contracts with source systems to ensure alignment on data definitions, schema, ownership, quality expectations, refresh patterns, and change control.
- In-depth problem-solving and analytical skills, with the ability to break down complex business and technical issues, identify root causes, and develop practical solution options.
- Excellent communication skills, with the ability to explain technical concepts clearly to technical and non-technical audiences and collaborate effectively across teams.
- Strong understanding of requirements gathering and analysis techniques, with the ability to clarify functional and non-functional needs and translate them into data solutions.
Nice to have
- Strong experience in the AWS ecosystem is preferred.
- Understanding of vector database and knowledge graph modelling will be an advantage.
- Experience across multiple business processes, platforms, or IT disciplines is beneficial.
- Experience in manufacturing and/or supply chain domains is a plus.
Details
- Location line: Bangalore, Karnataka.
- The preference for this role is to be based out of Chennai - Brigade World Trade Centre.
- The position requires working onsite five days a week in the Hosur Facility.
- Visa sponsorship is not available for this position.
- Posting dates: October 8, 2026 - October 15, 2026.
Read the full description and apply on the company’s own careers page.