Databricks Architect (Hybrid), West Des Moines, Iowa, United States

Job Summary

This hybrid role is for a Senior Architect with deep hands-on expertise in Databricks SQL, Databricks Workflows, and PySpark. The candidate will drive end-to-end data platform and analytics solutions for a global organization, designing, optimizing, and governing scalable cloud-based data architectures that enable trusted insights, improve business decisions, and support responsible innovation.

Key Responsibilities

Design and implement scalable cloud-based data architectures on Databricks to support complex analytical workloads and reliable data products.
Develop robust data pipelines using Databricks Workflows and PySpark to ingest, transform, and curate large volumes of structured and unstructured data.
Optimize Databricks SQL queries and data models for high-performance, low-latency analytics.
Establish reusable frameworks and patterns for data ingestion, transformation, and orchestration to improve consistency and reduce time-to-market.
Collaborate with product owners, data engineers, and analysts to translate business requirements into scalable technical solutions aligned with enterprise architecture standards.
Define and enforce best practices for code quality, version control, testing, and deployment in Databricks environments.
Implement monitoring, logging, and alerting mechanisms to enhance reliability and observability of workflows and jobs.
Design secure data access models (RBAC, data masking, encryption) to ensure compliance with regulatory and security standards.
Drive modernization by migrating legacy systems into Databricks-based platforms, simplifying architecture and reducing operational complexity.
Conduct architecture and code reviews to ensure performance, scalability, and maintainability.
Partner with cloud and infrastructure teams to optimize compute, storage, and networking for cost efficiency and performance.
Document architecture decisions, data flows, and standards for long-term maintainability.
Mentor and guide teams on Databricks and PySpark implementation best practices.

Required Qualifications

Extensive experience in designing and implementing enterprise-scale data platforms using Databricks, Databricks SQL, Databricks Workflows, and PySpark.
Strong proficiency in SQL, data modeling, and query optimization for analytical workloads.
Hands-on experience in building and orchestrating complex data pipelines within Databricks (scheduling, dependency management, recovery strategies).
Solid understanding of distributed computing concepts (cluster configuration, parallel processing, resource tuning).
Experience with data governance, data quality, and metadata management frameworks.
Hands-on expertise with CI/CD practices for Databricks deployments, including automated testing and release pipelines.
Strong communication and collaboration skills to work effectively with cross-functional stakeholders.
Proven experience in large-scale cloud-based data ecosystems and modern data platform

Preferred Certifications

Databricks Certified Data Engineer Professional
Databricks Certified Data Engineer Associate
Equivalent cloud data certification (Azure, AWS, or GCP)

*Please note this role is not able to offer visa transfer or sponsorship now or in the future*

We're excited to meet people who share our mission and who can make an impact in a variety of ways. Don't hesitate to apply—even if you only meet the minimum requirements. Think about your transferable experiences and unique skills that make you stand out.

Salary and Other Compensation:

Applications will be accepted until Aug 06, 2026,

The annual salary for this position is between $ 90,000 - $ 150,000 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:

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.

Sobre a Cognizant
Cognizant (NASDAQ: CTSH) é uma construtora de IA e fornecedora de serviços de tecnologia, criando a ponte entre o investimento em IA e o valor para as empresas por meio do desenvolvimento de soluções de IA completas para nossos clientes. Nossa profunda experiência em setores, processos e engenharia nos permite incorporar o contexto único de cada organização em sistemas tecnológicos que potencializam a capacidade humana, geram resultados tangíveis e mantêm empresas globais à frente em um mundo em rápida transformação. Saiba mais em cognizant.ai ou @cognizant.

A Cognizant é uma empregadora que investe em equidade. Sua candidatura não será pautada em raça, cor, gênero, sexualidade, credo, origem, deficiência, gravidez ou qualquer outra característica protegida pelas leis brasileiras.

Informações adicionais de emprego
Os candidatos podem ser obrigados a comparecer a entrevistas presenciais ou por videoconferência. Além disso, os candidatos podem ser obrigados a apresentar seu documento de identificação emitido pelo estado ou governo atual durante cada entrevista.

Embora nosso sistema permita a candidatura em todos os idiomas, o(s) idioma(s) e o(s) nível(is) de proficiência exigidos para o trabalho variam. No entanto, é necessário um nível básico de inglês para fins de comunicação em toda a empresa.

Se você tem uma deficiência que requer adaptações razoáveis para procurar uma vaga de emprego ou enviar uma candidatura, envie um e-mail para [email protected] com sua solicitação e informações de contato.