Infosys is looking for Data Architect who must be Polyglots with expertise in multiple technologies and can work as a full-stack Data Engineer & Architect in complex engineering projects. You should be a Polyglot focusing on core programming while ensuring performance, quality, scalability and extensibility. Drive Innovation in chosen domain. Work with teams to build enterprise level software applications with predictable agile Dev Sec Ops model.

Required Qualifications:

Candidate must be located within traveling distance of Richardson, TX or be willing to relocate to the area.
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.
Min 7 years of core development experience in below stacks:

• Deep expertise in Scala or Python or Spark or Hadoop application development
• Experience in end-to-end implementation of projects using Cloudera Hadoop, Spark, Hive, HBase, Sqoop, Kafka, Elasticsearch, Grafana, ELK stack
• Experience in AI-Powered Intelligent Data Integration & Transformation and also expertise in AI-powered data lakes
• Proven experience in architecting and administering Snowflake, Azure, and Google Big Data platforms.
• Strong understanding of cloud infrastructure, data integration, and analytics workflows.
• Experience in Categorizing, cataloging, cleansing and normalizing of datasets
• Hands-on experience with platform monitoring, automation, and DevOps tools.
• Experience in managing hybrid environments (on-prem and cloud).
• Excellent communication and leadership skills.
• Knowledge of data governance, security, and compliance frameworks.

Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time

Preferred Qualifications:

• Sound Knowledge of Software engineering design patterns and practices
• Experience with Ranger, Atlas, Tez, Hive LLAP, Neo4J, Ni Fi, Airflow, or any DAG based tools
• Knowledge and experience with Cloud and containerization technologies: Azure, Kubernetes, Open Shift and Dockers
• Planning and Co-ordination skills
• Experience and desire to work in a Global delivery environment.
• Ability to work in team in diverse/ multiple stakeholder environment.
• A high degree of initiative and flexibility
• High customer orientation
• Excellent verbal and written communication skills

The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face.