Spark, Azure & Databricks Cloud Architect

Job Description

Infosys is seeking an Azure, Databricks and Spark 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.

Key Responsibilities

• 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
  
  

Required Qualifications

• 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 7 years of Information Technology experience
• 5 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
  
  

Preferred Qualifications

• 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
  
  

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.

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.

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.