Job Summary
This hybrid role is for an experienced Architect with ten to fourteen years of hands on data engineering and analytics experience focused on BigQuery. The architect will design scalable data platforms optimize complex queries and guide teams in building secure and reliable analytical solutions that help the organization make evidence based decisions and deliver meaningful outcomes for clients and communities.
Responsibilities
- Design robust BigQuery based data architectures that support large scale analytics and reporting needs while ensuring performance reliability and cost efficiency
- Develop optimized data models and partitioning strategies in BigQuery that improve query speed data quality and maintainability for complex analytical workloads
- Create reusable patterns for data ingestion transformation and storage using BigQuery and complementary cloud native services to streamline project delivery
- Implement query optimization techniques including clustering indexing alternatives and efficient SQL patterns to reduce processing time and resource consumption
- Define standards for data security access control and compliance within BigQuery environments to protect sensitive information and align with organizational policies
- Partner with product and business stakeholders to translate analytical requirements into practical BigQuery solutions that deliver measurable value and improved decision making
- Coordinate with data engineers analysts and platform teams to ensure consistent adoption of BigQuery best practices across projects and environments
- Develop monitoring and observability practices for BigQuery workloads using logging and metrics to detect issues early and ensure stable system performance
- Prepare technical design documents solution diagrams and reference guides that clearly describe BigQuery architectures and data flows for technical and nontechnical audiences
- Conduct code reviews and performance assessments for SQL scripts and data pipelines running on BigQuery to ensure adherence to standards and continuous improvement
- Provide technical guidance on migration of existing data warehouses and analytics solutions into BigQuery with a focus on risk mitigation and smooth transition
- Advise on cost management strategies such as workload sizing storage optimization and scheduling to ensure BigQuery usage remains sustainable and predictable
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
