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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Databricks Architect (Hybrid) - **Company:** Cognizant Technology Solutions Corporation - **Location:** West Des Moines, IA, United States - **Experience:** Expert - **Salary:** $90,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Business Analytics Applications, Automation of Tests, Microsoft Azure, Cloud Database, Software Quality, Code Review, Continuous Integration, Data Governance, Data Infrastructure, Data Masking, Data Security, Distributed Systems, Meta-Data Management, Query Optimization, Role-Based Access Control, SQL Databases, Unstructured Data, Data Logging, Data Ingestion, Delivery Pipeline, Parallel Computation, Pyspark, Data Management, Software Version Control, Data Pipelines, Legacy Systems, Databricks - **Published:** July 7, 2026 - **Apply:** https://www.juju.com/job/00000000gemhrx ## About the Role + **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)** ## Description 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., + **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.** ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Are Code Reviews Worth It? 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