Data Architect

About Infosys:

Infosys is a global leader in next-generation digital services and consulting. We enable clients in 56+ 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.

Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.

Responsibilities

Participate in the discussion with customers and other front-end stakeholders, analyze the requirements and problems, make proposals on data architecture, data modeling, data integration and ETL solutions

Make proposals on the application, data and technical architecture related to data analytical solutions, which include BI, data lake, lake house, data warehouse, data mining, AI and other technical aspects.

Lead and promote the design and development of solutions, problem solving, PoV on specific problems etc.

Take responsibility to PoV, training and knowledge transfer about data technologies including AI, IoT and other technologies, including researching, tracking and comparison of technical solutions.

Take responsibility to train and coach data developers, data operation engineers and other team members, through training sessions or knowledge sharing.

Qualification

College degree on data analytics, data science, computer science or other related engineering majors.

More than 10 years working experience in data related projects.

Be familiar with the data modeling and data warehouse methodologies.

Be familiar with data analytical techniques such as data mining and statistics.

Be familiar with the dimensional modeling, data visualization, data query and the related tools.

Be familiar with the data development using SQL, Python or other technologies.

Be proficient in at least one platform technologies, such as Hive, Spark, Flink, HBase and ES).

The experience of designing data platform using mainstream technologies is a must.

Be familiar with the batch, real time and stream data processing.

Be able to understand the business problems, communicate on technical issue in a complex context.

Be familiar with Agile development method

Have experience in industries such as retail, finance, Internet, manufacturing and life science.

Language: English + Mandarina.

EEO Statement:

At Infosys, we recognize that everyone has individual requirements. If you are a person with disability, illness, or injury and require adjustments to the recruitment and selection process, please contact our Recruitment team for adjustment either via the following email Infosys_ta@infosys.com or call 1-866-472-0935. Alternatively, you can include your preferred method of communication in email, and someone will be in touch.

Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third-party vendors. In the absence of a signed agreement, any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile. All recruitment activity must be coordinated through the Talent Acquisition department.

"All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer."

Client-provided location(s): Lanzhou, China

Job ID: Infosys-138583BR

Employment Type: OTHER

Posted: 2025-09-07T18:36:59