Enterprise Data Architect

Infosys

About The Position

The Enterprise Data Architect serves in the Architecture Principal job role within Infosys’ Strategic Technology Group (STG), a unit for experienced technologists who tackle complex, large-scale technology challenges. The position combines architectural leadership and hands-on technical guidance, helping shape technology direction, solve business challenges, and deliver resilient outcomes while mentoring teams and influencing practices across programs. The architect partners with business stakeholders to elicit and align requirements, evaluates client technology landscapes, and develops secure, scalable architectural designs and transformation roadmaps. The role advises technical teams and client stakeholders, guides modernization and performance optimization, addresses technology risks, and ensures architecture aligns with business goals and standards. It also includes developing technical knowledge, contributing to proposals and go-to-market materials, and representing the organization at industry forums and in professional publications. The role focuses on enterprise data platforms and data-driven solutions. It calls for experience across the data engineering lifecycle, modern data architectures and platforms, governance and security, integration, analytics, and AI foundations. The architect is expected to have previously led architecture teams on large programs and to provide technical direction, coaching, and mentoring. A bachelor’s degree or foreign equivalent is required, although three years of progressive specialty experience may substitute for each year of education. Relocation and/or travel to the work or project location may be required. Applicants must be authorized to work in the United States without employer-based visa sponsorship; Infosys cannot provide sponsorship for this role now or in the future.

Requirements

Experience in data and digital architecture, focused on enterprise data platforms and data-driven solutions.
Knowledge of the full SDLC and data engineering lifecycle, including ingestion, transformation, storage, serving, and consumption.
Experience with Lean and Agile development methodologies, including DataOps and MLOps practices.
Experience with Data-First and AI-First architecture across data lakes, lakehouses, warehouses, data mesh, data fabric, real-time and batch pipelines, analytics and BI, cloud data services, APIs and microservices for data access, and agentic AI implementation.
Prior experience as a Chief Architect or Data/Digital Architecture Lead, personally leading and mentoring an architecture team on large programs.
Strong command of data governance, data quality, metadata management, master data management, lineage, and security and privacy by design, including regulatory compliance such as GDPR.
Breadth across data engineering and streaming technologies (such as Spark and Kafka); cloud data platforms (such as Snowflake, Hadoop, Databricks, BigQuery, and Azure Synapse); relational, dimensional, NoSQL, graph, and vector data modeling; ML/GenAI data foundations such as feature stores, RAG pipelines, and vector databases; and enterprise integration such as REST APIs, event-driven architecture, and ETL/ELT, with depth in several areas.
Very good understanding of enterprise architecture and data management frameworks such as TOGAF, Zachman, and DAMA-DMBOK, with practical application of one or more.
Working awareness of analytics, dashboards, AI-enabled applications, and how data products reach end users.
Bachelor’s degree or foreign equivalent from an accredited institution, or three years of progressive specialty experience in lieu of each year of education.
Authorization to work in the United States for any employer without employer-based visa sponsorship; Infosys cannot provide immigration sponsorship for this role now or in the future.

Nice To Haves

High-level business and process understanding of one or more industries.
Personally led and successfully delivered one or more digital transformation programs larger than $10 million with tangible business outcomes.
Strong communication and articulation skills, with the ability to tailor abstraction and detail to CXOs, middle management, and developers.
Ability to prepare rough-order-of-magnitude estimates and costing to determine high-level total cost of ownership for large programs.
Deep expertise in one or more areas such as digital/mobility, customer/user experience, APIs and microservices, search, content management, digital asset management, commerce, CRM, order management, analytics, cloud, or SaaS/PaaS platforms, and ability to discuss those areas in depth with subject-matter experts.
Ability to review detailed designs, code, configurations, and data models and provide specific input to architects and developers.
Good understanding of products and platforms relevant to digital transformation.
Good understanding of leading open-source technologies, frameworks, and tools.
Good understanding of leading NoSQL databases.
Ability to work in cross-cultural teams and flexibility to support multiple time zones when necessary.
Experience and desire to work in a global delivery environment.
Willingness to relocate and/or travel to the work or project location, if required.

Responsibilities

Partner with business stakeholders and oversee requirements elicitation, aligning requirements with immediate and prospective market demands.
Drive scalable, secure architectural designs that comply with architectural standards, incorporate appropriate security measures, and integrate smoothly with existing systems.
Lead solution evaluation, assess client landscapes, recommend integrated and future-proof solutions, and communicate strategic transformation roadmaps to client stakeholders.
Create roadmaps for integrating architectural solutions based on system risks, defining short-, medium-, and long-term milestones aligned with business and technology goals.
Define strategies for large-scale transitions and modernization initiatives.
Advise technical teams and client stakeholders, build client relationships, assess team-obtained client feedback, and recommend follow-up actions.
Drive performance optimization for the enterprise architectural landscape and identify technology risks and mitigation strategies.
Oversee the creation and dissemination of critical organizational technical knowledge.
Collaborate with sales teams on proposals and go-to-market materials, contributing specialized methodologies and architectural solutions to client engagements.
Represent the organization in industry forums and contribute to professional publications.
Personally lead architecture teams on large programs, providing guidance, coaching, and mentoring to support technical quality.
Review detailed designs, code, configurations, and data models and provide specific input to architects and developers, as appropriate to the role.