modernization Software Engineer-

Cognizant; Arkansas; Hybrid; USD 120,000 - 156,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k) plan and contributions

Paid holidays and PTO

Stock Purchase Plan

Job summary

Cognizant seeks an Architect to lead the design of scalable data solutions on BigQuery and BigQuery ML. You will guide teams to deliver secure, high-performance analytics that enable ML capabilities across cloud data platforms.

The role emphasizes defining architecture standards, collaborating with data scientists and engineers, and ensuring governance and security throughout the lifecycle. Hybrid work model supported, with focus on delivering business value and social impact.

Qualifications

• Experience designing scalable cloud data architectures for analytics and ML solutions.
• Proficiency with BigQuery and BigQuery ML for predictive modeling and reporting.
• Strong Python skills for feature engineering and data pipelines.
• Knowledge of data governance, encryption, access controls and compliance.

Responsibilities

• Design end-to-end cloud data architectures with BigQuery for scalable analytics platforms.
• Develop ML solutions in BigQuery ML using Python-based feature engineering.
• Optimize warehouse structures and query performance with partitioning and clustering.
• Collaborate with product owners and engineers to translate analytics needs into technical blueprints.

Skills

BigQuery

BigQuery ML

Python

Data architecture

ML model development

Security & compliance

Tools

GCP / Google Cloud

Job description

Job Summary

Architect role in a global organization focused on designing scalable data solutions using BigQuery ML Python and BigQuery. The architect will define modern analytics architecture enable advanced machine learning capabilities on cloud data platforms and guide teams to deliver secure high performance solutions that drive business value and social impact within a hybrid work model.

Responsibilities

• Design end to end cloud data architectures that leverage BigQuery and BigQuery ML to deliver scalable analytics platforms that support complex business reporting and predictive modeling needs for diverse stakeholder groups.
• Develop robust machine learning solutions in BigQuery ML using Python based feature engineering and model evaluation practices that improve decision quality across critical business processes and external customer services.
• Optimize data warehouse structures and BigQuery query performance by defining partitioning strategies clustering approaches and cost control mechanisms that ensure efficient use of resources and rapid insight generation.
• Collaborate with product owners data scientists and engineering teams to translate analytical requirements into technical blueprints that integrate BigQuery data assets Python workflows and downstream consumption layers.
• Establish standards for data ingestion transformation and storage in BigQuery including reusable patterns for Python based pipelines to ensure reliability auditability and consistent data quality across projects.
• Create architecture documentation and solution diagrams that clearly describe data flows security controls and integration touchpoints enabling teams to implement BigQuery and Python solutions with confidence and alignment.
• Guide teams on best practices for experimenting with BigQuery ML models including model selection training validation and monitoring to ensure models remain accurate ethical and relevant to business objectives.
• Coordinate hybrid work collaboration by defining processes and tools that support effective communication code review and design validation for team members working both onsite and remotely in day shift.
• Ensure security and compliance requirements are embedded into all BigQuery and Python solutions by applying encryption access control policies and data governance principles that protect sensitive information and build stakeholder trust.

Salary And Other Compensation

The annual salary for this position is between $120-155.5K depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable la