Data Modeler & Architect - Arch Consultant -2

Infosys•Charlotte, NC

19d

About The Position

In the assigned Job Role of Architecture Consultant 2, your Area Of Responsibility will be as below: * Participate in customer discussions to gather and analyze system requirements for performance, security and scalability. * Provide suggestions on solution architecture, contribute to tech framework development, support enterprise architecture definition, and drive design creation * Identify suitable technologies and tools available in the market, and perform a comparative analysis in line with client's business requirement, thereby identifying optimal architectural solution options * Participate in developing integration strategies based on validation of proof of concept of proposed architectural solutions * Facilitate a smooth transition by ensuring knowledge transfer and adherence to quality standards, while contributing to the build and deployment automation strategy * Collaborate with development teams to resolve complex technical issues using solution deployment and roll out methods, during build, deployment and support phases * Analyze system performance basis architectural solutions implemented and support in identifying potential risks in the system landscape * Create artifacts of architectural frameworks and technical solutions, thereby enriching team's knowledge repository

Requirements

Experience in data engineering/architecture across cloud or hybrid environments, with measurable impact on modernization, scalability, and cost optimization.
Experience in Data Modeling
Knowledge of metadata, lineage, data quality, and governance tooling (Collibra DQ, SALT, Informatica EDC).
Hands on expertise with data lake or data warehouse or lake house platforms, streaming data, ETL/ELT.
Hands on expertise with various relational DBs and NoSQL DBs.
Proven ability to translate architecture principles into pragmatic delivery patterns; influence platform decisions and align solutions with business priorities.
Excellent communication, stakeholder management, and facilitation skills across business, technology, and risk/compliance teams; able to articulate ROI and strategic impact to senior leadership.
Experience operating within Agile/SAFe environments.
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.
This position may require relocation and/or travel to work/project location.
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 now or in the future.

Nice To Haves

Experience in Big data, Cloudera Hadoop is preferred.
Hands on expertise with cloud native Lakehouse platforms (Databricks, Snowflake), streaming (Kafka), ETL/ELT (Informatica), BI (MicroStrategy, Tableau, ThoughtSpot), and relational databases.
Programming proficiency in Python and SQL for data engineering, automation, and AI/ML pipelines.
Understanding of AI/ML concepts, platform choices, model lifecycle/MLOps, and integration into enterprise data platforms.
Familiarity with distributed query engines (Starburst), graph databases (TigerGraph), NoSQL (e.g., MongoDB), open table formats (Iceberg, Delta Lake), and data mesh principles.

Responsibilities

Participate in customer discussions to gather and analyze system requirements for performance, security and scalability.
Provide suggestions on solution architecture, contribute to tech framework development, support enterprise architecture definition, and drive design creation.
Identify suitable technologies and tools available in the market, and perform a comparative analysis in line with client's business requirement, thereby identifying optimal architectural solution options.
Participate in developing integration strategies based on validation of proof of concept of proposed architectural solutions.
Facilitate a smooth transition by ensuring knowledge transfer and adherence to quality standards, while contributing to the build and deployment automation strategy.
Collaborate with development teams to resolve complex technical issues using solution deployment and roll out methods, during build, deployment and support phases.
Analyze system performance basis architectural solutions implemented and support in identifying potential risks in the system landscape.
Create artifacts of architectural frameworks and technical solutions, thereby enriching team's knowledge repository.