Job Summary
Technical Architect\Lead with ten to twelve years of experience designing and implementing cloud native data and analytics solutions using AWS services and Snowflake technologies with a focus on secure scalable and resilient platforms that streamline data pipelines optimize costs and accelerate insight delivery in a hybrid work model with day shift expectation
Responsibilities
Design cloud native data architectures that integrate Amazon S3 AWS Glue AWS Lambda and Snowflake to deliver secure scalable and cost-effective analytics solutions that meet strategic business objectives in a hybrid work environment. -Develop end to end data ingestion and transformation workflows using AWS Code Pipeline Snowpipe and Python to ensure reliable near real time data availability for analytics and reporting stakeholders. -Define standards for data modeling Snowflake SQL development and performance optimization to achieve consistent query response times and predictable platform behavior across diverse analytical workloads. -Implement robust data quality validation steps using Python and Snowflake features to detect log and remediate anomalies before they impact downstream dashboards and data products. -Coordinate with product teams data engineers and analysts to translate functional needs into detailed technical designs that leverage AWS and Snowflake services efficiently and sustainably. -Optimize storage layouts in Amazon S3 and Snowflake by organizing data tuning clustering strategies and aligning retention policies to manage cost while preserving analytical flexibility. -Configure and maintain secure data access patterns by applying fine grained roles policies and encryption capabilities across AWS and Snowflake platforms to safeguard sensitive information. -Automate build test and deployment workflows using AWS Code Pipeline to increase release frequency reduce manual errors and ensure consistent delivery of data pipeline enhancements. -Integrate Snowflake Cortex capabilities where applicable to deliver advanced analytics and intelligent features that improve decision making and operational efficiency for business users. -Monitor data pipelines Snowflake workloads and AWS services using observability tools and metrics to proactively identify performance bottlenecks and capacity risks before they affect service level targets. -Document solution architectures data flows and operational runbooks in clear detail to support maintainability future enhancements and effective handover to support teams. -Collaborate with stakeholders including hotels domain professionals when available to align data solutions with industry specific metrics customer journeys and operational processes. -Guide peers and junior team members through constructive feedback technical reviews and knowledge sharing sessions to uplift overall engineering quality and adherence to architectural standards.
Qualification
Certifications Required
Nice to have Snowflake certification
Salary and Other Compensation:
The annual salary for this position is between $120-168Kdepending 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 law
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。
