Senior Technology Architect_ Azure Data Arc

rsity is respected and valued.

Key Responsibilities

Own end-to-end solution architecture for large-scale data platforms on Azure, with primary focus on Azure Databricks and Lakehouse patterns.
Define architecture across data ingestion, transformation, orchestration, and consumption layers using ADLS Gen2, Azure Data Factory, Azure Databricks (Delta/Lakehouse).
Drive technical solutioning for data migration and modernization, including mapping/compatibility assessment and scalable transformation design.
Create, review, and govern High-Level Design (HLD) and Low-Level Design (LLD) including non-functional requirements (NFRs): security, performance, scalability, reliability, and cost.
Provide deep technical guidance on PySpark transformations, SparkSQL patterns, and scalable ETL/ELT design for large datasets.
Establish best practices for Delta Lake / Medallion architecture (Bronze/Silver/Gold), data quality controls, and audit/reconciliation patterns.
Define CI/CD and engineering governance for data pipelines (coding standards, branching strategy, release management, automated testing).
Lead architecture workshops, solution walkthroughs, and technical governance with client architects and key stakeholders.
Convert business requirements into scalable platform capabilities and a pragmatic delivery roadmap.
Own technical risk management-identify architectural risks early, define mitigation plans, and drive resolution.
Work closely with Data Engineering, BI/Analytics, QA, and DevOps teams to ensure architecture is implemented correctly.
Perform design/code reviews and ensure adherence to architecture, security, and quality standards.

Required
Deep expertise in Azure Databricks and distributed processing using PySpark / SparkSQL
Strong understanding of Lakehouse / Delta Lake implementation patterns
Strong experience with ADLS Gen2, Azure Data Factory, and enterprise-scale pipeline orchestration
Strong architecture experience for data platforms, including NFR ownership and governance

Preferred
Strong recent experience in Azure Data Platform architecture, especially Azure Databricks / Lakehouse.
Proven ability to own end-to-end solution architecture for large-scale data platforms, including target architecture, HLD/LLD, and NFRs (security, performance, scalability, reliability, cost).
Strong hands-on expertise in PySpark, SparkSQL, and ETL/ELT engineering, with experience designing scalable ingestion and transformation patterns.
Strong stakeholder and delivery leadership-able to lead design workshops, govern engineering standards, and partner closely with client and delivery teams to ensure successful implementation.

Personal
Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include:
• High analytical skills
• A high degree of initiative and flexibility
• High customer orientation
• High quality awareness
• Excellent verbal and written communication skills

Overview
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation.
With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.