> Markdown version of [/jobs/ext/2608044-data-solutions-architect](https://www.wearedevelopers.com/jobs/ext/2608044-data-solutions-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). --- # Data Solutions Architect - **Company:** Genesis10 - **Location:** Plano, TX, United States - **Experience:** Expert - **Salary:** $132,454.0 - $149,094.0 - **Contract:** Temporary contract - **Skills:** Adaptable Database Systems, Amazon S3, Business Analytics Applications, CA Workload Automation Ae, Cloudera Impala, Data as a Services, Data Infrastructure, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Apache Hadoop, Hadoop Distributed File System, Apache HBase, Apache Hive, Python (Programming Language), CURL, Power BI, Prometheus, Shell Script, Tableau (Software), Enterprise Data Management, Scripting, Apache Yarn, Cloudera Manager, Grafana, Powerquery, Pyspark, Storage Technologies, Vba Programming Language, Api Design - **Published:** August 31, 2026 - **Apply:** https://www.dice.com/job-detail/ca88d06d-3355-4802-b4db-633c5f65a7e5 ## About the Role * A lead-level professional with a strong sense of ownership and a results-oriented mindset * Demonstrated expertise in designing and delivering analytics solutions across enterprise data lakes, large-scale Hadoop platforms, and cloud or hybrid data ecosystems * Deep knowledge of HDFS, HBase, Ozone, MinIO, and Data Services leveraging HDFS CLI commands and FSImage analysis * Familiar with object storage architectures, including bucket-based storage models and S3-compatible platforms * Proficient in analyzing CPU, memory, and workload utilization across Hadoop platforms using YARN, Hive, and Impala query metrics * Experienced using Cloudera Manager, Pepperdata, and/or Acceldata Pulse for Hadoop platform monitoring * Proven hands-on experience developing API-driven ETL pipelines using cURL, PySpark, Python, and shell scripting with Autosys scheduling * Skilled in designing data models to capture and analyze storage, compute, and resource utilization metrics * Ability to translate complex data into actionable insights for senior leadership and executive audiences * Proficiency in Excel automation using VBA, Power Query, and scripting * Familiar with visualization tools such as Tableau, PowerBI or similar tools * Experience working with advanced visualization such as Prometheus and Grafana * Passion for automation, process simplification, and a continuous improvement mindset * Strong problem-solving skills and attention to detail ## Description * Drive enterprise-wide capacity management, resource optimization, and data platform insights * Build analytics solutions within the Enterprise Data Warehouse and enterprise data lake ecosystem * Contribute to building a single source of truth for capacity data * Develop scalable data models and automate reporting * Enable data-driven decision-making for storage, compute, onboarding demand, and platform hygiene initiatives * Lead proof-of-concept (POC) efforts for emerging technologies, evaluate business value, and recommend scalable implementation strategies ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Don’t Insert Crazy! 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