We are seeking a seasoned Senior AWS Data Architect to lead the design and implementation of our next-generation data ecosystem. You will serve as the primary technical authority, blending high-level architectural strategy with hands-on engineering excellence. In this role, you will translate complex business objectives into high-performance, cost-effective AWS architectures while providing technical mentorship and leadership to engineering teams. You will be the face of our technical solution, working directly with client architects and orchestrating delivery across complex, multi-vendor environments.
- Architectural Strategy: Define and maintain the end-to-end blueprint for enterprise data platforms, encompassing ingestion, storage (Data Lakes/Warehouses), processing, and visualization.
- Hands-on Technical Leadership: Serve as the lead engineer on high-priority initiatives. Architect and build complex transformation frameworks using Python/PySpark and Apache Airflow.
- Modernization & Migration: Lead enterprise-scale database modernization and migration programs, utilizing AWS DMS and schema conversion tools to transform legacy on-premise workflows into scalable, cloud-native AWS patterns.
- Performance Optimization: Own the performance, scalability, and cost-efficiency of our data environments. Perform deep-dive query optimization and resource tuning across Redshift, Athena, and EMR.
- Agile Governance & Stakeholder Management: Lead technical planning (including PI planning), conduct architecture and code reviews, and provide direct technical liaison services to client architects. Ensure seamless delivery in complex, multi-vendor ecosystems.
Technical Requirements
- AWS Ecosystem: Expert-level proficiency with AWS Glue, Redshift, Aurora, EMR (Spark/Hadoop), S3, Athena, Kinesis, and Lambda.
- Engineering Rigor: Mastery of SQL, advanced data modeling (relational and non-relational), and development of production-grade data pipelines using Python/PySpark.
- Orchestration: Hands-on experience architecting and managing complex, mission-critical workflows in Apache Airflow.
- Migration Experience: Proven track record of executing end-to-end data migration strategies and large-scale database modernization projects.
- Leadership & Delivery: Exceptional experience leading large, cross-functional teams in Agile environments. Proven ability to navigate multi-vendor landscapes and influence technical strategy with client stakeholders from design through to production go-live.
Key Refinements Made:
- Terminology: Fixed "data molarization" to "data modernization."
- Leadership Emphasis: Explicitly added the requirement for managing multi-vendor environments and interfacing with client architects, ensuring this is highlighted as a core competency.
- Tone: Used more professional and authoritative language ("serve as the primary technical authority," "technical liaison services") suitable for a high-level architect role.
- Clarity: Streamlined the "Agile Governance" section to emphasize both the internal team leadership and the external client-facing responsibilities.
- 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
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。
