Infosys is seeking a Scala, Spark and Azure Technology Architect. In the role of Technology Architect, you will interface with key stakeholders and apply your technical proficiency across different stages of Data Solutions Life Cycle including strategy & roadmap, architecture definition, design, implementation, and operations. You will play an important role in defining data strategy, solutions/tools strategy, and architecture directions with clients for building/modernizing Digital solutions powered by Data and AI. You will also do technical feasibility and identify innovative ways to help clients derive value from their data investments. You will guide the team technically and work closely with offshore team acting as a communication medium between the client and offshore.

• Architecting and designing End-to-End Enterprise data engineering solution on Azure data platform (Scala/Pyspark, Synapse, Fabric)
• Strong Data analysis and Data Modelling skills
• Ability to evaluate between various native, third-party and open-source components/services, and propose the right architecture for client needs
• Provide technical leadership and hands-on oversight in developing data processing applications on Spark using Scala programming, focusing on Microsoft Azure Synapse Spark Runtime.

• Candidates must be located within commuting distance of Atlanta, GA or Richardson, TX or Raleigh, NC or must be willing to relocate to the area. This position may require travel within the US.
• Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• At least 11 years of Information Technology experience
• 5-6 years of Experience in architecting data Engineering space on Scala & Spark + Azure.
• At least 4 years of hands on experience in handling large amount of big data using Azure and pyspark Ecosystems.
• At least 2 years of experience with Scala/Python/Java required
• Experience in data migration and cloud modernization from legacy/on-premise platforms
• Solution architecture support for pre-sales and proposals: Estimation, Sizing, Solution evaluation and recommendation, Client presentation, etc.
• Strong Data analysis and Data Modelling skills
• Ability to evaluate between various native, third-party and open-source components/services, and propose the right architecture for client needs
• Strong programming background including Scala, SQL, Python and Pyspark framework
• Azure Data platform, ETL/ELT services, DWH, and Analytics services(Synapse)
• All applicants authorized to work in the United States are encouraged to apply

• Data & code migration tools and automation
• Infrastructure, networking and security components Azure
• Performance engineering, scalability and other NFR's
• CI / CD, Configuration management, Cloud automation tools
• Cloud operations, Monitoring, Data Ops, FinOps
• Advanced analytics, ML, AI tools/technologies, ML Ops
• Data Mesh architecture, Data Fabric, Data Virtualization
• Data governance, Data Catalog, Data Lineage, and Data Marketplace
• Other cloud data platforms like Snowflake, AWS, Databricks