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职位Infosys

Spark, Azure & Databricks Cloud Architect

Infosys

Spark, Azure & Databricks Cloud Architect

Infosys

Raleigh, NC

·

On-site

·

Full-time

·

Today

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.

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 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 Code Build, 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.

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关于Infosys

Infosys

Infosys

Public

Infosys Limited is an Indian multinational technology company that offers information technology, business consulting, and outsourcing services. Founded in 1981 by seven engineers, the company is headquartered in Bengaluru and considered one of the Big Six Indian IT companies.

10,001+

员工数

Bengaluru

总部位置

$72B

企业估值

评价

3.9

10条评价

工作生活平衡

3.7

薪酬

2.8

企业文化

4.1

职业发展

3.2

管理层

3.4

75%

推荐给朋友

优点

Flexible work hours and remote work options

Good learning opportunities and training programs

Collaborative environment and supportive colleagues

缺点

High workload and long hours during deadlines

Low salary and uncompetitive pay

Limited career advancement and growth opportunities

薪资范围

220,463个数据点

Junior/L3

Junior/L3 · Technology Analyst

26,472份报告

$79,728

年薪总额

基本工资

$79,728

股票

-

奖金

-

$62,047

$102,446

面试经验

2次面试

难度

3.5

/ 5

时长

14-28周

体验

正面 0%

中性 50%

负面 50%

面试流程

1

Application Review

2

Online Assessment

3

Technical Interview

4

HR Round

5

Final Decision

常见问题

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Problem Solving