Sr data engg

No visa sponsorship, transfer, or C2C is available for this role now or in the future.

About the role

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 supporting 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 to 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 to ensure efficient resource use and rapid insight generation.
• Collaborate with product owners, data scientists, and engineering teams to translate analytical requirements into technical blueprints integrating 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 to protect sensitive information and build stakeholder trust.

Pay

The annual salary for this position is between $100,000–$140,000, depending on experience and qualifications. 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

• Medical, dental, vision, and life insurance
• Paid holidays plus paid time off
• 401(k) plan and contributions
• Long-term and short-term disability
• Paid parental leave
• Employee Stock Purchase Plan

Applications will be accepted until August 11, 2026.