Spark, Azure & Databricks Cloud Architect

Infosys is seeking an Azure, Databricks and Spark Senior Technology Architect. In this role, you will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions and contribute to technology-specific best practices and standards. You will provide inputs for identifying best-fit architectural solutions for one or more projects; develop design of applications, provide regular support and guidance to project teams on complex coding and issue resolution with the objective of ensuring best-fit and high-quality technical solutions within the area of technology specialization and in compliance with guidelines, policies and norms of Infosys. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

• Provide inputs for planning activities to meet non-functional requirements in project - performance engineering track
  
• Participate in customer discussions during requirement analysis with a knowledge of requirements elicitation and analysis tools and techniques like story boarding, use case analysis, agile user stories, to understand system requirements and non-functional requirements
  
• Leverage architecture frameworks, principles, models, patterns and standards like TOGAF, Zachman etc. to provide recommendations on solution architecture, implementation approach and deployment options
  
• Develop design of application using broad knowledge of multiple Build tools keeping in mind conformance to proposed architecture and to achieve functional and non-functional requirements
  
• Work on performance engineering activities in project including planning, setup/testing oversight and application, interfaces and database tuning
  
• Provide guidance to project teams on knowledge of relevant quality, process and architectural frameworks and planning/reuse tools to improve technical quality and productivity of the project.
  
• Provide inputs for build and deployment automation strategy
  
• Work with project teams to resolve complex technical issues using solution deployment and rollout methods during build, deployment and support
  
• Perform comparative analysis of multiple products, frameworks and technologies to define technology solution in a pursuit
  
• Anchor PoC development to validate proposed technical solution/mitigate technical risk
  
• Provide inputs to create technology and architectural frameworks
  
• Anchor presentations to customers showcasing thought leadership
  
• Wherever relevant, coordinates tasks with team members, sets goals and targets, reviews outputs, gives performance-based feedback to ensure that the deliverables are as per the required standards
  

• 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.
• Candidate must be located within commuting distance of Raleigh, NC or Richardson, TX or be willing to relocate to the area.
• At least 10 years of Information Technology experience
  
• 7+ years of hands-on experience in architecting solutions on Azure, Databricks and Spark
  
• Working knowledge of DBT for data processing and transformation
  
• Good experience in end-to-end implementation of data warehouse and data marts
  
• Strong understanding of Data Warehousing concepts of Data Vault, Dimensional modelling, OLAP design
  
• Experience and detailed knowledge with Master Data Management, ETL, Data Quality, metadata management, data profiling, micro-batches, streaming data loads
  
• Extensive experience with CI/CD platforms such as GitLab CI, GitHub Actions, AWS CodeBuild, Azure Pipelines, and Jenkins
  
• Experience designing and implementing complex solutions for distributed systems
  
• Experience in leading and mentoring teams
  
• All applicants authorized to work in the United States are encouraged to apply
  

• Good understanding of data integration, data quality and data architecture
  
• Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data
  
• Strong knowledge and hands-on experience in SQL, Unix shell scripting
  
• Skilled in scripting languages including Python, Bash, and PowerShell
  
• Familiarity with log and monitoring solutions
  
• Experience in utilizing development containers, unit testing/code quality review/linting - standard best practice
  
• Good understanding of Agile software development frameworks
  
• Strong communication and Analytical skills
  
• Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams
  
• Experience and desire to work in a global delivery environment