Robert Half is looking for a database administrator who loves the challenge of solving problems with multiple layers of complexity. If you are an efficient problem solver with highly tuned decision making skills, this may be the position for you. What you get to do every single day · Install, configure, and maintain all SQL Server instances across development, staging, and production environments · Ensure database server topology, configuration, and maintenance are designed and executed to meet SLA objectives · Advise on database design, tuning options, and other potential issues · Fix SQL Server service outages as they occur, including after hours and weekends · Configure SQL Server monitoring utilities to minimize false alarms · Baseline system performance and monitor for deviation, recommending and implementing improvements to slow running queries · When performance issues arise, you'll figure out the most effective way to increase performance including hardware purchases, server configuration changes, or index/query changes
<p>We are looking for a Database Administrator with a strong background in database administration to join our team in Cleveland, Ohio. In this role, you will be responsible for designing, implementing, and maintaining database systems to meet business needs while ensuring optimal performance and security. The ideal candidate will have a proven track record in managing complex database solutions and collaborating with stakeholders to deliver high-quality results.</p><p><br></p><p>Responsibilities:</p><p>• Assess database requirements by engaging with stakeholders and analyzing current and future application needs.</p><p>• Design and recommend database structures, security protocols, and backup and recovery strategies tailored to business objectives.</p><p>• Develop technical specifications for application upgrades and new implementations, ensuring alignment with project goals.</p><p>• Collaborate with project managers, system owners, and vendors to coordinate installation requirements and schedules.</p><p>• Create detailed project plans and timelines for database installations and software releases.</p><p>• Implement database systems based on technical requirements and business processes.</p><p>• Optimize database performance by configuring parameters and deploying updates for Oracle and Microsoft SQL Server.</p><p>• Monitor and fine-tune database systems to ensure reliability, efficiency, and scalability.</p><p>• Provide technical guidance and support for cloud-based database solutions, including AWS, Azure, and Google Cloud Platform.</p><p>• Stay up-to-date with advancements in database technologies to recommend improvements and innovative solutions.</p>
We are looking for a highly experienced Data/Information Architect to lead the design and implementation of enterprise-wide data architecture solutions. This long-term contract position offers the opportunity to shape scalable, efficient, and high-performance data systems that align with organizational goals. The ideal candidate will have a strong background in data modeling, governance frameworks, and modern lakehouse architectures, working collaboratively with both technical teams and business stakeholders to deliver actionable insights.<br><br>Responsibilities:<br>• Develop and maintain enterprise data models that support analytics, reporting, and operational needs.<br>• Implement best practices for data modeling in a lakehouse architecture, ensuring scalability and alignment with business requirements.<br>• Architect data structures using methodologies such as Star Schema, Snowflake Schema, and Data Vault for optimal performance.<br>• Collaborate with stakeholders to gather data requirements and ensure business objectives are met.<br>• Work alongside Data Engineers to create physical data models optimized for Microsoft Fabric and Delta Lake environments.<br>• Establish governance processes, including metadata management, data lineage, and quality assurance protocols.<br>• Define and manage canonical data models across key business domains to ensure consistency.<br>• Document and enforce data modeling standards to drive adoption across engineering teams.<br>• Assess and enhance existing data models, identifying areas for improvement in performance and alignment.<br>• Provide strategic guidance on data management tools and technologies to support organizational goals.
We are seeking a hands-on Senior Enterprise Architect in Artificial Intelligence (AI) to join our global Enterprise Architecture team. This role blends deep technical expertise with architectural design and practical implementation to drive AI-powered transformation initiatives.<br><br>As part of a forward-thinking global technology team, you’ll collaborate across business, data, and product functions to design and implement AI/ML solutions that enable digital products and services.<br><br>Key Responsibilities<br><br>Design and architect enterprise-scale AI/ML solutions across areas such as Machine Learning, Generative AI, Deep Learning, Virtual Assistants, and Cognitive Services (Vision/Image, Text/Language processing).<br>Develop and communicate AI roadmaps, future-state architectures, and design artifacts.<br>Rapidly prototype and build proof-of-concepts (PoCs) and MVPs for AI models and algorithms.<br>Evaluate and recommend AI/ML tools, platforms, and frameworks; conduct ROI analysis.<br>Experiment with and fine-tune LLMs, train custom models, and assess performance metrics.<br>Perform data exploration, cleansing, and feature engineering to prepare datasets for model training.<br>Guide and mentor engineering and data science teams through AI/ML solution design, deployment, and integration into enterprise workflows.<br>Continuously scan industry innovations and apply emerging AI/ML technologies to business problems.<br>What We’re Looking For<br><br>Strong technical and business acumen in creating technology-driven solutions.<br>Passion for experimenting with and adopting emerging AI/ML technologies.<br>Excellent communication and influencing skills; ability to present complex technical concepts to both technical and non-technical audiences.<br>Proven ability to balance timeliness, cost, and quality in solution design.<br>Experience leading digital transformation, target operating models, and performance improvement initiatives.<br>Qualifications<br><br>Bachelor’s degree in STEM or related field (MBA a plus).<br>5+ years in AI/ML solution architecture, prototyping, and experimentation.<br>5+ years working with AWS and/or Azure data, analytics, and AI services.<br>3+ years of experience with data science tools and frameworks.<br>Recent, hands-on experience with Generative AI, LLMs, and Agentic AI platforms.<br>Knowledge of cloud-native services (data storage, compute, networking, security).<br>Strong understanding of statistical methods, data preprocessing, and feature engineering.