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# Machine Learning Scientist+Agentic

- **Company:** Cognizant Technology Solutions Corporation
- **Location:** Bentonville, AR, United States
- **Contract:** Permanent contract
- **Skills:** Component-Based Software Engineering, Automation of Tests, BigQuery, Cloud Computing Security, Cloud Engineering, Data as a Services, Data Security, Data Systems, Digital Architecture, Identity and Access Management, Python (Programming Language), Logical Data Models, Machine Learning, Performance Tuning, Query Optimization, Data Streaming, Web Application Frameworks, Caching, Tools for Reporting, Data Pipelines
- **Published:** July 24, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f9358a10ed996b50

## About the Role

Showcase substantial experience in designing and implementing Python based solutions that integrate with cloud native data services and analytics tools
Demonstrate strong proficiency in modeling relational and analytical schemas and implementing them effectively in Cloud SQL and BigQuery environments
Apply practical knowledge of query optimization data partitioning and caching techniques to achieve predictable performance under production workloads
Utilize experience with cloud security concepts including identity management encryption and network boundaries to design secure data platforms
Exhibit familiarity with CI and CD practices automated testing and infrastructure as code to support reliable deployment of data and application components
Combine excellent communication skills with the ability to collaborate across multidisciplinary teams and guide stakeholders through complex technical decisions
Leverage prior exposure to hybrid and enterprise environments to ensure that proposed architectures are pragmatic maintainable and aligned to organizational goals

## Description

This Architect role focuses on designing resilient data and application solutions using Python Cloud SQL and BigQuery within a hybrid work model. The Architect will define reference architectures guide implementation teams and ensure that data platforms are secure scalable and optimized for analytics. The role emphasizes quality reusability and alignment with enterprise standards., Design robust end to end data and application architectures using Python Cloud SQL and BigQuery to support highly scalable analytics platforms
Define target state blueprints and logical data models that align with enterprise standards while ensuring compatibility with existing systems and tools
Develop reusable patterns and reference implementations that enable delivery teams to rapidly build secure and reliable data solutions in hybrid environments
Oversee translation of business requirements into technical designs ensuring that data pipelines schemas and services are optimized for performance and maintainability
Provide detailed guidance to developers on best practices for Python coding query optimization and configuration of Cloud SQL and BigQuery resources
Review solution designs and implementation artifacts to ensure adherence to architectural principles security policies and regulatory compliance requirements
Establish governance for schema changes data lifecycle management and access controls to protect sensitive information and improve audit readiness
Collaborate closely with product owners data engineers and analysts to prioritize features and shape solutions that create measurable business value
Drive continuous improvement by analyzing production incidents conducting root cause analysis and evolving architecture patterns to reduce operational risk
Evaluate emerging cloud data services and Python frameworks to recommend practical innovations that improve efficiency reliability and developer productivity
Document architecture decisions data flows and interface contracts in a clear and maintainable manner to support shared understanding across distributed teams
Coordinate with infrastructure and platform teams to validate capacity cost models and service level objectives for Cloud SQL and BigQuery based solutions
Guide performance tuning activities by analyzing workloads refining queries restructuring tables and recommending indexing or partitioning strategies


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