Must have retail experience .
Job Summary
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.
Responsibilities
- 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
Qualifications
- 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
Salary and Other Compensation:
The annual salary for this position is between $100-145Kdepending 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
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
