Enterprise Data Architect

Infosys•Atlanta, GA

About The Position

As an Architecture Principal in Infosys’ Strategic Technology Group (STG), the Enterprise Data Architect leads enterprise data and digital architecture for complex programs. The role partners with business stakeholders to elicit requirements and align solutions with current and anticipated business and market needs. It assesses existing technology landscapes, recommends integrated and future-ready solutions, and develops transformation roadmaps with short-, medium-, and long-term milestones aligned to business and technology goals. The architect designs scalable, secure solutions that meet architectural standards and integrate with existing systems. The position advises technical teams and client stakeholders, leads modernization and performance optimization initiatives, identifies technology risks and mitigations, and ensures technical knowledge is created and shared. It also contributes architectural expertise to proposals and go-to-market materials, builds client relationships, and represents Infosys in industry forums and professional publications. The STG brings together specialist programmers, senior technologists, and technical leaders to solve large-scale technology challenges. Its members are expected to demonstrate technical depth, architectural judgment, hands-on leadership, mentoring, and influence over best practices while contributing to innovation, software development excellence, and continuous learning. This role focuses on enterprise data platforms and data-driven solutions across the data engineering lifecycle, modern data architectures, cloud platforms, integration, analytics, and AI foundations.

Requirements

Experience in data and digital architecture, with a focus on enterprise data platforms and data-driven solutions.
Knowledge of the full SDLC, including the data engineering lifecycle: ingestion, transformation, storage, serving, and consumption.
Experience with Lean/Agile development methodologies, including DataOps and MLOps practices.
Experience with Data-First and AI-First architecture across modern data platforms, real-time and batch pipelines, analytics and BI, cloud data services, APIs/microservices for data access, and Agentic AI implementation.
Prior experience as a Chief Architect or Data/Digital Architecture Lead, personally leading an architecture team on large programs and coaching and mentoring architects.
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.
Technology breadth across data engineering and streaming (such as Spark and Kafka); cloud data platforms (such as Snowflake, Hadoop, Databricks, BigQuery, and Azure Synapse); data modeling (relational, dimensional, NoSQL, graph, and vector); ML/GenAI data foundations (feature stores, RAG pipelines, and vector databases); and enterprise integration (REST APIs, event-driven architecture, and ETL/ELT), with depth in several areas.
Very good understanding of enterprise architecture frameworks such as TOGAF, Zachman, or DAMA-DMBOK, with practical application of one or more.
Working awareness of the consumption layer, including 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 experience in the specialty in lieu of each year of education.
Authorized 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.
Very good communication and articulation skills, with the ability to communicate at the appropriate level of abstraction and detail with executives, middle management, and developers.
Ability to provide rough-order-of-magnitude estimates and costing to determine high-level total cost of ownership for large programs.
Deep technology 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, and SaaS/PaaS platforms, and ability to hold detailed discussions with subject matter experts.
Ability to review detailed designs, code, configuration, and data models and provide specific input to architects and developers.
Understanding and exposure to products and platforms relevant to digital transformation.
Understanding of leading open-source technologies, frameworks, and tools.
Understanding of leading NoSQL databases.
Ability to work on a cross-cultural team and flexibly support multiple time zones when necessary.
Experience and desire to work in a global delivery environment.

Responsibilities

Partner with business stakeholders and oversee requirements elicitation, aligning requirements with current and prospective market demands.
Design scalable and secure architectures, ensuring compliance with architectural standards, appropriate security measures, and integration with existing systems.
Lead solution evaluation by assessing clients’ existing landscapes and recommending integrated, stable, and future-proof solutions.
Develop and communicate strategic transformation roadmaps to client stakeholders.
Create roadmaps for architectural solution integration 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 and use team-obtained client feedback to inform action plans.
Drive performance optimization across the enterprise architectural landscape and identify technology risks and mitigation strategies.
Oversee the creation and dissemination of 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.
Lead teams of architects on large programs, providing guidance, coaching, and mentoring to ensure technical quality.
Apply data governance, data quality, metadata management, master data management, lineage, and security and privacy by design, including regulatory compliance.
Develop end-to-end data solutions across data engineering and streaming, cloud data platforms, data modeling, ML/GenAI data foundations, and enterprise integration.