Data Modeler & Architect

About the role

Infosys Financial Services is a global leader in driving digital transformation for financial institutions, specializing in leveraging advanced technologies such as AI, cloud, and data-led innovation to help clients accelerate growth and unlock business value. Join a pioneering team at the forefront of financial services transformation, working with cutting-edge AI technologies across banking, wealth management, and insurance sectors.

Area of responsibility

• 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

Your contribution to the team

• The ability to analyse, design, and develop scalable and secure architectures
• A knack for assessing multiple technologies, tools and frameworks to recommend optimal solutions
• Understanding of integration methodologies, proof-of-concept validation and deployment strategies
• The ability to document architectural frameworks and solutions
• Proactive communication with internal teams and clients, ensuring alignment with business objectives
• A knack to keep with up technical advancements to ensure relevant and effective recommendations
• The ability to maintain standards and ensure smooth transition through knowledge transfer

Required skills and experience

• 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

Preferred skills and experience

• 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

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
• 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

Benefits

• Medical/Dental/Vision/Life Insurance
• Long-term/Short-term Disability
• Health and Dependent Care Reimbursement Accounts
• Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
• 401(k) plan and contributions dependent on salary level
• Paid holidays plus Paid Time Off