About Us Lyrasis (www.lyrasis.org) is a 501 c 3 non-profit membership organization whose mission is to support enduring access to the world's shared academic, scientific and cultural heritage through leadership in open technologies, content services, digital solutions and collaboration with archives, libraries, museums and knowledge communities worldwide. Our Mission Statement is: Lyrasis empowers libraries, archives and museums through content services, open technologies and community-based solutions that expand access to information, preserve cultural heritage, and advance the shared goals of our members and the communities we serve. Collaboratively, we build a future that is inclusive, equitable, accessible and sustainable. Lyrasis organizational and staff values are: communication, respect, collaboration, impact, and service. Lyrasis was created by its members to help them tackle wide-reaching challenges with collective strengths. Lyrasis helps its members amplify their impact and influence. Summary Description: Do you have experience with open-source technologies and like helping users resolve their technical problems? Do you have experience with library technology and are excited to help libraries further their mission? Are you looking for a remote position? The Data Migration Specialist will extract, transform, and load client data from their legacy cultural heritage system(s) into Lyrasis-operated, open-source software platforms. Lyrasis- hosted platforms today include ArchivesSpace, CollectionSpace, and DSpace. The Data Migration Specialist will also create and maintain the tools used for such migrations. The ideal candidate will provide excellent technical support and customer service, effectively deal with stressful situations and meet firm deadlines. This individual must be able to work with other project managers and client stakeholders to define functional requirements, communicate complex issues effectively to all parties, work in a fast-paced environment on time sensitive projects, and possess a great attitude. Duties/Job Responsibilities: - Analyze prospective client data in order to determine the feasibility of and time estimate for a prospective migration project. - Manage migration projects for Lyrasis clients by producing project plans and timelines for clients, adhering to these deadlines, generating realistic expectations, and communicating clearly with clients and other stakeholders. - Analyze clients' legacy data/data models, and advise them on the best way to clean-up, manipulate and prepare their data for migration into Lyrasis ‐hosted platforms. - Collaborate with clients with creating data maps, including consulting on solutions for data fields that do not map directly and identifying data functionality tradeoffs in the target system for different mapping options. - Develop, maintain, and document migration tooling to facilitate the extraction, transformation and loading of legacy data that may also be re-purposed for other migration projects. - Perform special data manipulation and data cleanup projects on an as-needed basis. - Provide excellent technical support to Lyrasis hosting clients. Required Knowledge, Skills, and Abilities: - Knowledge of and experience with cultural heritage organizations' operations, workflows, data/metadata, and repository infrastructure. - Knowledge of current and emerging content and encoding standards for metadata, such as EAD, IIIF, MARCXML, MODS, METS, RDA, and SPECTRUM. - High comfort level with Unix/Linux, a shell prompt, scripting, PostgresSQL/SQL, or other relational databases, and wrangling data in XML, JSON, and CSV formats, and using APIs to retrieve and update data. - Familiarity with data ETL tools and techniques. - The ability to communicate effectively both orally and in writing. - Strong analytical skills. - Strong customer service focus. - Excellent time and project management skills; ability to estimate time effectively. - Ability to succeed in a team environment and in a remote organization with minimum direction. - A commitment to fostering a diverse and inclusive environment where differences and complexities in background, cultures, values, and viewpoints are valued. Strongly Preferred: - Experience operating or managing open-source collections management/repository systems, such as ArchivesSpace, CollectionSpace, DSpace, Fedora Commons, Islandora, or Samvera. - Experience in helping others use collections management/repository systems. - Experience creating, updating and maintaining documentation. - Experience creating and/or delivering training. - Experience writing or maintaining Ruby scripts or applications. NOTE: The Rails web development framework is only tangentially relevant to the work of the Data Migrations Team. - Experience using GitHub for version control and collaboration. Physical Demands: - This position is fully remote and requires sedentary work that primarily involves sitting/standing. Incumbent must be able to meet and communicate regularly via Zoom, Microsoft Teams, and/or other teleconferencing means. - While this position is 100% remote, it requires occasional travel to Lyrasis company events and in-person professional development, meetings and/or conferences. Applications Details: - Applications will be accepted through Monday, May 4, 2026. - Applications MUST include: Cover Letter and Resume - Applications without a Cover Letter will not be considered - Salary Range: $79,305 to $84,000 per year Lyrasis Background Check Requirement As part of our commitment to a safe and trusted environment, Lyrasis conducts criminal background checks on candidates who receive a conditional offer of employment. Offers are contingent upon satisfactory results. Lyrasis complies with all applicable federal, state, and local laws, including "ban the box" and fair chance hiring requirements, which may govern when and how criminal history information is considered in the hiring process. Background check results are evaluated in a manner consistent with these laws and our equal employment opportunity policy. At Lyrasis, one of our core values is to provide an inclusive environment to all who are employed here. Accordingly, the company is committed to providing fair and equitable employment opportunities to all applicants, without regard to race, color, religion, sex, national origin, age, disability or genetics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

• Guide clients on optimizing their data environment for maximum efficiency. • Develop system engineering, integrations, and architectures based on client needs. • Implement and advise on data warehouse solutions, ETL pipelines, and BI reporting tools. • Develop data models to capture client's KPIs and data transformations; validate and test data models. • Teach technical data modeling concepts to various audiences, including developers and IT professionals. • Manage technical teams of up to 4-6 people, delegating work across engagements. • Assign staff with appropriate skill sets to projects in conjunction with the project manager. • Work within a project management framework to meet objectives and understand the impact of your work. • Collaborate with Sales and Marketing teams to develop Thought Leadership and support sales efforts.

About Scalepex Scalepex is a nearshore partner that empowers businesses to scale efficiently and effectively through exceptional services. With a strong focus on customer success, innovation, and cultural alignment, we support companies in building high-performing teams across industries. At Scalepex, we believe in fostering an environment where our people can thrive, grow their careers, and make a real impact. Job Summary We are looking for a Data Engineer / Senior Data Engineer to design, build, and scale robust data pipelines and analytics solutions. This role combines hands-on development with technical leadership, ensuring high-quality data systems that power business insights and analytics products. You will work across the full data lifecycle—from ingestion and transformation to modeling and delivery—while contributing to architectural decisions and best practices.

1.Job Summary We are looking for an AI transformation lead to design, develop, and deploy AI and analytics solutions using enterprise data extracted from Oracle Fusion Cloud and Oracle Databases. The role focuses on transforming Oracle business data into predictive models, insights, and decision-support tools that add real business value across Finance, HR, Sales, and Operations. The vacancy will be offshore based in favor of Samir Group - KSA 2.Key Responsibilities: Solution Design and Development Design, implement, and maintain AI/ML models (e.g., forecasting, classification, recommendation, NLP) using enterprise data sourced from Oracle Fusion and Oracle DB. Develop robust data pipelines to extract, transform, and load (ETL) data from Oracle Fusion Cloud (ERP, HCM, SCM, CX, Finance) and on-premise/cloud Oracle Databases into AI platforms and analytics environments. Build APIs, microservices, or other service layers to expose AI models to internal systems, portals, and mobile applications. Data and Model Management Perform data preparation, cleansing, and feature engineering to ensure high-quality input for AI models. Evaluate, tune, and retrain models to improve accuracy, performance, and stability. Implement monitoring, logging, and version control for models, datasets, and code. Collaboration and Governance Work closely with business stakeholders (Finance, HR, Sales, Operations, etc.) to translate business problems into AI use cases and technical specifications. Collaborate with DBAs, Oracle functional consultants, and integration teams to ensure end-to-end alignment of AI solutions with existing architecture. Ensure adherence to information security, data privacy, and regulatory requirements in all AI solutions. Documentation and Support Prepare comprehensive technical documentation, including design documents, data dictionaries, and deployment guides. Provide knowledge transfer to operations and support teams and assist in incident analysis related to AI components. 3.Qualifications (Education & Experience) Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related discipline. A master's degree in a relevant field is an advantage. Minimum of 3–7 years of experience in software development, data science, or AI/ML engineering. Proven experience working with Oracle Database (SQL, PL/SQL, performance tuning, views, materialized views). Experience consuming or integrating data from Oracle Fusion Cloud (via REST APIs, reports, or integration tools). 4.Technical Competencies Strong programming skills in Python (preferred) and familiarity with R, Java, or similar languages. Hands-on experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Solid understanding of data modelling, relational databases, and performance optimization. Experience building and deploying RESTful APIs or microservices (e.g., Flask, FastAPI, .NET, or Java frameworks). Familiarity with cloud platforms (OCI, Azure, AWS, or GCP) for AI workloads is an advantage. Knowledge of CI/CD, Git, and DevOps practices for AI/M