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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - **Company:** Pyramid Consulting Inc. - **Location:** Columbus, IN, United States - **Experience:** Experienced - **Salary:** $135,200.0 - $145,600.0 - **Contract:** Contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Optical Character Recognition (OCR), Computer Vision, Audit Trail, Automation of Tests, Cloud Engineering, Static Program Analysis, Cyber Security, Information Systems, Databases, Continuous Delivery, Continuous Integration, Data as a Services, Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Migration, Data Warehousing, Relational Databases, DevOps, Identity and Access Management, Python (Programming Language), Key Management, Machine Learning, Meta-Data Management, NoSQL, Object Detection, OpenCV, Performance Tuning, Release Management, Cloud Services, Search Technologies, Secure Coding, Software Deployment, Software Engineering, SQL Databases, Data Streaming, Software Vulnerability Management, Data Logging, Data Processing, Scripting, Retrieval-Augmented Generation, Delivery Pipeline, Model Validation, Database Performance, Generative AI, Agentic-AI, Git, Event Driven Architecture, Containerization, Data Lakes, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Data Lineage, Data Management, Api Design, Restful APIs, Prompt Orchestration, Devsecops, Docker, Vulnerability Analysis, Microservices - **Published:** October 28, 2026 - **Apply:** https://www.dice.com/job-detail/2dd17035-87b0-42f1-9522-d3cc08f9b16a ## About the Role * Bachelor's degree in Computer Science, Data Science, Software Engineering, Information Systems, Electrical Engineering, or a related technical field. * Seven or more years of experience in data engineering, software development, cloud architecture, AI/ML, or related areas. * Three or more years of experience designing enterprise data or solution architectures. * Hands-on experience with AWS cloud services and cloud-native solution development. * Strong experience with relational databases, NoSQL databases, data lakes, and data warehouses. * Experience developing data integration pipelines using ETL/ELT, APIs, messaging, or event-driven architectures. * Strong knowledge of data modeling, metadata management, data lineage, data quality, and governance. * Experience developing or deploying AI, machine learning, generative AI, or knowledge-based solutions. * Working knowledge of computer vision concepts and image-processing workflows. * Experience implementing CI/CD pipelines and DevSecOps controls. * Strong understanding of encryption, identity management, access controls, audit logging, and secure handling of sensitive data. * Proficiency in Python and SQL. * Experience with Git-based development, automated testing, and code-review practices. * Ability to translate business requirements into scalable technical solutions. * Strong communication skills with the ability to work across architecture, cybersecurity, engineering, IT, and business teams. * Cloud: AWS, including services for compute, storage, databases, security, monitoring, and AI/ML * Programming: Python, SQL, scripting, and API development * Data Platforms: Relational databases, NoSQL, data lakes, data warehouses, and vector databases * Data Integration: ETL/ELT, REST APIs, event streaming, messaging, and microservices * AI: Generative AI, AI agents, RAG, prompt orchestration, embeddings, model evaluation, and responsible AI controls * Computer Vision: OpenCV, image preprocessing, classification, object detection, OCR, model evaluation, and inference pipelines * DevOps: Git, automated testing, CI/CD, infrastructure as code, release management, and environment management * Containers: Docker and Kubernetes or equivalent container platforms * Security: Secure coding, vulnerability scanning, secrets management, IAM, encryption, audit logging, and compliance * Monitoring: Application, database, pipeline, infrastructure, and AI-model observability ## Description Immediate need for a talented Data Architect. This is a 12+months contract opportunity with long-term potential and is located in Columbus, IN(Onsite). Please review the job description below and contact me ASAP if you are interested., * Work Focus: * 70%: Data Architecture, AI Governance, AI Agents, and Computer Vision * 30%: DevOps, SecOps, and production deployment * Data Architecture and Governance - 35% * Define and implement enterprise data integration and storage strategies. * Design scalable architectures for databases, data lakes, APIs, and analytics platforms. * Develop physical, logical, and metadata models. * Establish data quality, accuracy, ownership, lineage, retention, and access-control standards. * Define governance metrics and monitor alignment with enterprise data strategies. * Lead data migration, transformation, validation, and modernization activities. * Align solution architecture with central enterprise architecture standards. * Design and implement microservices and reusable data services. * Monitor and optimize database performance, scalability, availability, and cost. * Support analytics, reporting, and data-lake integration. * AI Governance, AI Agents, and Knowledge Solutions - 25% * Develop a strategy for making trusted enterprise data available to AI applications and agents. * Define AI governance standards covering security, privacy, traceability, model risk, human oversight, and responsible AI. * Identify and prioritize knowledge-based AI and agentic AI use cases. * Design knowledge repositories, semantic search, vector databases, and retrieval-augmented generation solutions. * Develop AI solutions from proof of concept through production readiness. * Create reusable frameworks for subject-matter-expert agents and enterprise knowledge assistants. * Establish long-term support, ownership, lifecycle, and sustainability plans for AI solutions. * Define AI performance, accuracy, adoption, cost, and business-value metrics. * Implement monitoring for model quality, data drift, hallucination risk, and solution reliability. * Computer Vision - 10% * Design and implement computer vision solutions for image and video analysis. * Develop pipelines for image ingestion, annotation, preprocessing, model training, inference, and monitoring. * Support use cases such as object detection, classification, OCR, defect identification, visual inspection, and document-image processing. * Evaluate computer vision models and services based on accuracy, latency, scalability, explainability, and cost. * Establish governance standards for image data, labeling quality, model validation, privacy, and retention. * Deploy computer vision solutions using cloud, edge, or hybrid architectures. * Transition computer vision prototypes into reliable production applications. * DevOps and SecOps - 30% * Establish software development, coding, documentation, testing, and code-review standards. * Design and optimize CI/CD and DevSecOps pipelines. * Automate application, infrastructure, database, and AI-model deployments. * Integrate static code analysis, dependency scanning, container scanning, secret detection, and vulnerability management. * Define encryption, identity, access-control, auditing, logging, and sensitive-data handling requirements. * Ensure compliance with enterprise cybersecurity and regulatory requirements. * Support containerized and microservices-based deployments. * Implement monitoring, alerting, incident response, backup, recovery, and operational-support processes. * Troubleshoot production issues and drive root-cause analysis and corrective actions. * Develop implementation roadmaps in coordination with technical and business leadership.