Data Platform Architect (AWS / Snowflake / ETL)
Location: Hartford, CT (Hybrid – 3 days in office)
Employment Type: Full-time
About the Role
We are seeking a highly skilled Data AWS Architect to design and deliver scalable, cloud-native data and analytics solutions. In this role, you will lead the architecture and implementation of modern data platforms, enabling advanced analytics and AI-driven outcomes for enterprise and customer needs.
You will partner with cross-functional teams to define technical standards, guide development teams, and ensure the delivery of secure, resilient, and high-performing solutions on AWS.
Key Responsibilities
- Design and architect scalable data and AI platforms leveraging modern cloud technologies
- Define and enforce technical standards, best practices, and governance for data engineering and analytics solutions
- Lead the design and implementation of cloud-native data pipelines (ETL/ELT)
- Provide hands-on guidance to engineering teams on architecture, development, and deployment
- Build and optimize data workflows using AWS services and distributed processing frameworks
- Ensure solutions are secure, resilient, and cost-efficient, aligned with enterprise standards
- Translate business and technical requirements into scalable data solutions
- Drive innovation in data architecture to improve performance, scalability, and accessibility
Required Qualifications
- Strong experience with AWS-based data engineering and analytics solutions
- Hands-on expertise in AWS Glue (ETL/ELT) and/or Ab Initio ETL tools
- Deep understanding of:
- Amazon S3 (storage, partitioning, lifecycle management)
- Parquet file formats and query optimization
- AWS Lambda for event-driven processing
- Experience working with cloud databases such as:
- Snowflake
- Amazon Aurora PostgreSQL
- Solid knowledge of:
- AWS Step Functions and orchestration/scheduling frameworks
- Python and PySpark for large-scale data processing
- Proven ability to design scalable, distributed data architectures
Preferred Qualifications
- Experience building enterprise data lake / lakehouse architectures
- Familiarity with data governance, security, and compliance frameworks
- Exposure to AI/ML data pipelines and analytics enablement
- Strong consulting and stakeholder engagement skills
Work Model
This role follows a hybrid work model, requiring 3 days per week onsite in Hartford, CT.
Compensation
salary range: $110,000 – $130,000 base salary
Why Join Us?
At Cognizant, you’ll be part of a global community that values innovation, collaboration, and continuous learning. You will work on cutting-edge technologies, influence enterprise-scale data platforms, and drive meaningful business outcomes.
Equal Opportunity Statement
Cognizant is an equal opportunity employer. We are committed to fostering an inclusive environment where all individuals are respected and valued.
Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional sobre el empleo
La información sobre la compensación es exacta en la fecha de publicación de este anuncio. Cognizant se reserva el derecho de modificar esta información en cualquier momento, de conformidad con la legislación aplicable.
Es posible que se solicite a los solicitantes que asistan a entrevistas de forma presencial o mediante videoconferencia. Asimismo, durante cada entrevista, los candidatos podrán estar obligados a presentar un documento de identidad válido emitido por el estado o por el gobierno.
Cognizant es un empleador que ofrece igualdad de oportunidades. Su solicitud y candidatura no se evaluarán en función de la raza, el color, el sexo, la religión, el credo, la orientación sexual, la identidad de género, el origen nacional, la discapacidad, la información genética, el embarazo, la condición de veterano ni cualquier otra característica protegida por las leyes federales, estatales o locales.
