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job description
data architect – arquitecto de datos
in the role of data architect, you will be responsible for designing, creating, and managing an organization's data architecture, ensuring that data is structured, stored, and retrieved efficiently and securely. You will develop data models, design databases, integrate data from various sources, and establish data governance policies. Additionally, you will select appropriate data management tools and technologies, collaborate with stakeholders to understand data needs, and monitor system performance. Key skills include proficiency in database management systems, data modeling, etl processes, and cloud platforms, along with strong analytical and communication abilities.
Locations for this position are mexico (mexico city, gdl and mty) hybrid work as per infosys mexico’s policy during cst time.
Basic qualifications
bachelor’s degree or foreign equivalent required from an accredited institution.
At least 8-10 years of experience in information technology.
Bilingual (spanish and english) is a must.
Track record of implementing aws services in a variety of business environments such as large enterprises and start-ups.
Ability to understand complex business requirements and render them as prototype systems with quick turnaround time.
Strong verbal and written communication are a must, as well as the ability to work effectively across internal and external organizations and virtual teams.
Knowledge of infrastructure requirements such as networking, storage and hardware optimization.
Mandatory skillsets
aws certification – aws solution architect, aws developer or aws certified big data specialty.
Implementation and tuning experience in the big data ecosystem (such as emr, hadoop, spark, r, hive), database (such as oracle, mysql, postgresql), nosql (such as dynamodb, hbase, mongodb, cassandra), datawarehousing (such as redshift, teradata, vertica), data migration and integration.
Good to have
experience working with aws services like emr, redshift, kinesis, s3, aws glue, dynamodb, etc.
Well-versed with other aws services ec2, streaming services like kafka, kinesis, hdfs.
Other relevant experience
strong interpersonal, communication, and leadership skills.
Critical thinker with problem-solving skills.
Self-motivated with a positive attitude and ability to work independently.
Able to work under tight deadlines and deliver complex requirements.
Flexible hours and team player.
Roles & responsibilities
understand customer requirements and develop architectural models for large-scale, high-performance systems.
Convert hive sql to aws glue sql.
Secure ems clusters using kms keys or customer-managed keys.
Create high-performance data management solutions using cloudformation and reusable artifacts.
Prepare architecture and design briefs for data lab projects.
Advise customers on system deployment on aws.
Share best practices, reference architectures, and patterns with the aws solution architect community.
About us
infosys is a global leader in digital services and consulting, enabling clients across more than 50 countries in their digital transformation journeys. With over four decades of experience, we help enterprises navigate their digital future by leveraging ai, agile digital processes, and continuous learning to enhance performance and customer satisfaction.
Eeo
infosys is an equal opportunity employer, committed to diversity and inclusion in the workplace, regardless of race, color, sex, gender identity, sexual orientation, religion, national origin, pregnancy, medical conditions, veteran status, or disability.
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