Big Data Architect

Key Skills

Unix Operating system, Java Programming, Leadership, Python Programming, SQL, Safety & Quality Management System-SQMS, Big Data Technology, Apache Kafka, Scala Programming, Data Modeling, Apache Hive, Shell Scripting language, SPARK Programming, ETL frameworks

Job Description

Infosys is seeking a Hadoop/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

This position is in North Carolina.

Candidate can be either located within North Carolina or work remotely from any locations within the US initially and be willing to relocate to North Carolina within 3 months. This position will require travel to project location.

U.S. citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time.

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.
• 7 years of Information Technology experience
• 5+ years of experience in architecting Big Data solutions using Hadoop, Spark, Hive, Kafka, Scala/Python
• Good experience in end-to-end implementation of data warehouse and data marts
• Experience and detailed knowledge with Master Data Management, ETL, Data Quality, metadata management, data profiling, micro-batches, streaming data loads
• Experience designing and implementing complex solutions for distributed systems
• Experience in leading and mentoring teams

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
• 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