> Markdown version of [/jobs/ext/4623193-cloud-architect](https://www.wearedevelopers.com/jobs/ext/4623193-cloud-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud Architect - **Company:** OJUS LLC - **Location:** Edison, NJ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Amazon S3, Business Analytics Applications, Microsoft Azure, Big Data, Cloud Computing, Cloud Database, Computer Programming, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, Distributed Systems, Identity and Access Management, Python (Programming Language), Cloud Services, SQL Databases, Enterprise Data Management, Apache Spark, Git, Cloudformation, Data Lakes, Pyspark, Data Management, Terraform, Data Pipelines, Jenkins, Databricks - **Published:** November 7, 2026 - **Apply:** https://www.thejobnetwork.com/job/29a0fff8-5065-420d-939f-0599e7471838/cloud-architect ## About the Role * 8+ years of experience in Data Engineering, Cloud Data Architecture, or related roles. \n * Strong hands-on experience with AWS Cloud services. \n * Extensive experience with Databricks and Apache Spark. \n * Strong programming skills in Python, PySpark, and SQL. \n * Experience with Delta Lake, Unity Catalog, and Databricks Lakehouse architecture. \n * Expertise in designing scalable ETL/ELT pipelines. \n * Strong knowledge of AWS S3, Glue, Lambda, Redshift, IAM, and EMR. \n * Experience with data modeling, data warehousing, and distributed computing. \n * Knowledge of Terraform or CloudFormation. \n * Experience with Git, Jenkins, Azure DevOps, or similar CI/CD tools. \n ## Description We are seeking an experienced AWS Databricks Architect to design, develop, and implement scalable data engineering and analytics solutions on AWS and Databricks platforms. The ideal candidate will have strong expertise in cloud data architecture, Lakehouse architecture, data pipelines, big data technologies, and enterprise data integration., The candidate will be responsible for defining technical architecture, optimizing data platforms, and leading the implementation of robust, secure, and high-performance data solutions.