> Markdown version of [/jobs/ext/3993638-senior-big-data-architect](https://www.wearedevelopers.com/jobs/ext/3993638-senior-big-data-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). --- # Senior Big Data Architect` - **Company:** Nyla Technology Solutions - **Location:** Anne Arundel County, MD, United States - **Experience:** Expert - **Salary:** $152,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Algorithm Design, Data Analysis, Build Automation, Big Data, C++ (Programming Language), Computer Programming, Data Infrastructure, Data Visualization, Distributed Data Store, Apache Hadoop, Python (Programming Language), Machine Learning, Performance Tuning, Scala (Programming Language), Tableau (Software), Data Processing, Grafana, Apache Spark, Core Data, Information Technology, Front End Software Development, Kibana, Data Pipelines - **Published:** October 28, 2026 - **Apply:** https://www.thejobnetwork.com/job/a1030612-0c8f-4dd0-ab3a-3366df91e019/senior-big-data-architect ## About the Role * Big Data Platform Management: Hands-on experience administering, optimizing, and maintaining scalable Big Data architecture and distributed data platforms. * Programming Proficiency: Strong development skills in core data languages (such as Python, Java, Scala, or C++) to build automation, pipelines, and tools. * Algorithm Development Refinement: Proven capability to design, prototype, refine, and deploy custom algorithms for complex data processing and analytical workflows. * Data Visualization Analytics: Demonstrated skill in transforming complex analytical results into clear, actionable data visual representations, dashboards, and reports. Education: Bachelor's Degree in Data Science, Computer Science, Applied Mathematics, Statistics, or a related quantitative discipline, PLUS 7+ years of professional experience in data science, predictive modeling, and AI/ML engineering OR Master's Degree in a quantitative discipline, PLUS 5+ years of specialized experience developing and deploying machine learning models on large datasets OR High School Diploma / GED, PLUS 11+ years of hands-on technical experience in data science, advanced analytics, and predictive modeling in lieu of a degree. , Desired Skills Experience with modern distributed frameworks and data visualization tools (e.g., Spark, Hadoop, Grafana, Kibana, Tableau, or custom D3.js/Web front-ends). Strong understanding of statistical modeling, machine learning concepts, and performance tuning for high-throughput data pipelines. Excellent collaborative communication skills and a passion for turning complex technical outcomes into clear visual narratives for non-technical stakeholders.