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In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data &amp; Analytics Strategy, Data Management &amp; Governance, Data Platforms &amp; Engineering, Analytics &amp; Data Science.</p>\n<p><strong>About Infosys Consulting</strong></p>\n<p>Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.</p>\n<p>Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. 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Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset.</p>\n<p><strong>About Your Role</strong></p>\n<p>As a Principal Data Architecture Consultant, you will act as a senior technical leader in complex data and analytics engagements. You will shape and govern end-to-end enterprise data architectures, lead technical teams, and serve as a trusted technical advisor for clients and internal stakeholders.</p>\n<p><strong>Your Role Will Include:</strong></p>\n<ul>\n<li>Define and govern target enterprise data, integration and analytics architectures across cloud and hybrid environments</li>\n<li>Translate business objectives into scalable, secure, and compliant data solutions</li>\n<li>Lead the design of end-to-end data solutions (ingestion, integration, storage, security, processing, analytics, AI enablement)</li>\n<li>Guide delivery teams through implementation, rollout, and production readiness</li>\n<li>Function as senior technical counterpart for client architects, IT leads, and engineering teams</li>\n<li>Mentor data architects, system architects and engineers and contribute to best practices and reference architectures</li>\n<li>Support pre-sales and solution design activities from a technical perspective</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>5–8+ years of experience in enterprise data architecture, system data integration, data engineering, or analytics</li>\n<li>Proven experience leading enterprise data architecture workstreams or technical teams</li>\n<li>Strong client-facing experience in complex enterprise environments</li>\n</ul>\n<p><strong>Core Data &amp; Analytics Technology Skills</strong></p>\n<ul>\n<li>Strong expertise in modern data architectures, including:</li>\n<li>Data Mesh/ Data Fabric/ Data lake / data warehouse architectures</li>\n<li>Modern Data Architecture design principles</li>\n<li>Batch and streaming data integration patterns</li>\n<li>Data Platform, DevOps, deployment and security architectures</li>\n<li>Analytics and AI enablement architectures</li>\n<li>Hands-on experience with cloud data platforms, e.g.:</li>\n<li>Azure, AWS or GCP</li>\n<li>Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric</li>\n<li>Strong SQL skills and experience with relational databases (e.g. Postgres, SQL Server, Oracle)</li>\n<li>Experience with NoSQL databases (e.g. Cosmos DB, MongoDB, InfluxDB)</li>\n<li>Solid understanding of API-based and event-driven architectures</li>\n<li>Experience designing and governing enterprise data migration programmes, including mapping, transformation rules, data quality remediation etc.</li>\n</ul>\n<p><strong>Engineering &amp; Platform Foundations</strong></p>\n<ul>\n<li>Experience with data pipelines, orchestration, and automation</li>\n<li>Familiarity with CI/CD concepts and production-grade deployments</li>\n<li>Understanding of distributed systems; Docker / Kubernetes is a plus</li>\n</ul>\n<p><strong>Data Management &amp; Governance</strong></p>\n<ul>\n<li>Strong understanding of data management and governance principles, including:</li>\n<li>Data quality, metadata, lineage, master data management</li>\n<li>Data Management software and tools</li>\n<li>Security, access control, and compliance considerations</li>\n<li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Exposure to advanced analytics, AI / ML or GenAI from an architectural perspective</li>\n<li>Experience with streaming platforms (e.g. Kafka, Azure Event Hubs)</li>\n<li>Hands-on Experience with data governance or metadata tools</li>\n<li>Cloud, data, or architecture certifications</li>\n</ul>\n<p><strong>Language &amp; Mobility</strong></p>\n<ul>\n<li>Very good English skills</li>\n<li>Willingness to travel for project-related work</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>You will be utilizing the most innovative technological solutions in modern data ecosystem. 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