About the role
As a Senior Data Engineer - Snowflake and Lakehouse, you will make an impact by designing, building, and optimizing scalable data solutions that power analytics, reporting, and data-driven decision-making across the enterprise. You will be a valued member of the data engineering team and work collaboratively with client technology leads, analytics teams, data scientists, and platform engineers to deliver modern Lakehouse capabilities using Snowflake and the modern data stack.
In this role, you will:
- Design and build scalable batch and near real-time data ingestion pipelines using Snowpipe and Snowpipe Streaming.
- Develop and maintain robust data transformation frameworks and curated data models using dbt and industry best practices.
- Build and optimize data processing solutions using Snowpark (Python and Spark) to support advanced transformations and machine learning use cases.
- Implement and manage Dynamic Tables, Snowflake Tasks, and workflow orchestration to automate and streamline data operations.
- Design and maintain Apache Iceberg-based Lakehouse architectures that enable open, interoperable, and high-performing data platforms.
- Integrate Kafka event streams and CDC data sources into Snowflake to support scalable real-time analytics.
- Monitor data platform health, optimize warehouse utilization, and implement cost and performance controls.
- Establish data quality standards, schema validation processes, testing frameworks, and operational best practices.
- Partner with cross-functional stakeholders to define data contracts, governance standards, and Lakehouse architecture guidelines.
- Create and maintain technical documentation, architecture diagrams, data lineage artifacts, and operational runbooks.
Work model
At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our various well-being programs. Based on this role's business requirements, this is an onsite position requiring 5 days per week in a client office in either Phoenix, Arizona or Johnston, Rhode Island.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
- Minimum 5 years of hands-on experience delivering data engineering solutions with Snowflake in enterprise environments.
- Strong experience with Snowflake platform capabilities including virtual warehouses, security roles, tasks, performance tuning, and operational management.
- Proven experience implementing batch and real-time ingestion solutions using Snowpipe and Snowpipe Streaming.
- Hands-on experience with dbt for data transformations, testing, documentation, and version-controlled development practices.
- Strong experience with Snowpark using Python and Spark for scalable data processing and transformation workloads.
- Experience integrating Kafka event streams and/or Change Data Capture (CDC) pipelines with Snowflake.
- Hands-on experience with AWS services such as S3, IAM, Glue, and Lambda supporting cloud-based data platforms.
- Advanced SQL skills and strong understanding of data modeling, dimensional design, and Lakehouse architecture principles.
- Experience with Dynamic Tables, workflow orchestration, and automated pipeline management.
- Experience using Git-based source control and CI/CD practices for data engineering solutions.
- Strong understanding of data governance, security, access controls, and cost optimization within Snowflake environments.
These will help you stand out
- Experience developing large-scale processing solutions using Java Spark.
- Familiarity with Interactive Tables or low-latency data serving frameworks within Snowflake.
- Experience with workflow orchestration platforms such as Apache Airflow.
- Experience leading or supporting migrations from traditional data warehouse environments to modern Lakehouse architectures.
- Snowflake certifications such as SnowPro Core or SnowPro Advanced.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Salary and Other Compensation:
Applications will be accepted until September 13, 2025
The annual salary for this position is between $ 100,000 - $ 115,000 depending 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:
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。
