Source Job

• Design and deliver data access patterns and ingestion workflows.
• Work with technical roles and domain experts to turn AI use cases into production-ready capabilities.
• Build lightweight ingestion or sync pipelines to bring priority datasets from various source systems into platforms that enable AI use.

RWS is building the next generation of AI-enabled capabilities across our products, internal production systems, and enterprise platforms.

• Design scalable, data-driven solutions for prominent retail organizations.
• Enhance supply chain data science initiatives through forecasting and business analytics.
• Leverage advanced AI platforms to drive impactful changes across global retail ecosystems.

Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

Shape the technical and functional architecture of our business intelligence platforms. Collaborate with product teams, developers, and stakeholders. Design scalable, secure, and Data led solutions that align with business goals.

Coface helps companies navigate through uncertainty by empowering them to make the right decisions and trade smarter in a complex world.

• Create awareness of Managed Print/Device Services offerings.
• Assess customer's business and technical needs and challenges related to their printing environment.
• Architect end-to-end solutions that meet customers' business and technical requirements while remaining price competitive.

Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. Their system identifies top-fitting candidates, and this shortlist is then shared directly with the hiring company.

• Architect, design, and oversee delivery of end-to-end AI/ML solutions.
• Lead cross-functional teams to implement robust ML platforms, pipelines, and applications.
• Communicate the business value and ROI of AI/ML solutions to stakeholders.

Jobgether is using an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. The system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

• Conduct discovery sessions to understand customer environment, business challenges, and constraints.
• Design and build proof-of-concept solutions that showcase the power of the platform bringing AI + Data + Workflow to life.
• Lead workshops and demonstrations for C-level executives and business stakeholders.

ServiceNow is a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. They seamlessly connect people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.

• Design, implement, and optimize end-to-end data solutions using modern cloud platforms.
• Collaborate with clients and internal teams to translate requirements into technical architectures.
• Mentor engineers, provide technical leadership, and deliver detailed documentation.

Jobgether is a platform that connects job seekers with companies. They use AI-powered matching to ensure applications are reviewed quickly and fairly. The final decision and next steps (interviews, assessments) are managed by the hiring manager's internal team.

• Define and maintain the end-to-end NBA platform architecture including data ingestion and decisioning.
• Serve as the technical authority across NBA domains and establish architectural standards.
• Architect decision frameworks combining business rules and machine learning insights.

Jobgether is a company that uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

Seeking a Presales Solutions Architect to drive innovative data solutions across the EMEA region. Partner with sales teams and clients to design and implement enterprise-level data architectures. Act as a trusted advisor to technical and business stakeholders.

Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.

• Define the strategy for a highly strategic Reporting Platform.
• Influence the company’s revenue growth, enabling customers to derive value from data through insightful reports and visualizations.
• Solve complex challenges at the intersection of data governance, scalability, and user experience.

Jobgether is a company that uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. They identify top-fitting candidates and share this shortlist directly with the hiring company.

• Lead technical discovery sessions and translate business problems into ML solutions.
• Design end-to-end ML architectures and present technical solutions to clients.
• Collaborate with delivery teams and provide technical guidance during project execution.

Provectus is a company that focuses on AI enablement, helping businesses become AI-first through AI strategy, data engineering, and AI solutions. They foster a collaborative environment where team members share learnings and best practices.

• Design, build, and maintain highly scalable, reliable, and efficient ETL/ELT pipelines.
• Ingest data from a multitude of sources and transform raw data into clean, structured, and AI/ML-ready formats.
• Work closely with data scientists, machine learning engineers, and business analysts to understand their data needs.

Valtech exists to unlock a better way to experience the world by blending crafts, categories, and cultures, helping brands unlock new value in an increasingly digital world.

Strengthen the real estate MLS data platform squad. Build robust data pipelines and backend services. Own the end-to-end architecture for MLS and property data.

Luxury Presence is the leading digital platform revolutionizing the real estate industry for agents, teams, and brokerages.

Design, implement, and maintain scalable ETL/ELT pipelines using Python, SQL, and modern orchestration frameworks. Build and optimize data models and schemas for cloud warehouses and relational databases, supporting AI and analytics workflows. Lead large-scale data initiatives from planning through execution, ensuring performance, cost efficiency, and reliability.

This position is posted by Jobgether on behalf of a partner company.

Responsible for designing, creating, and managing our organization’s data architecture. Involves developing data models, defining data standards, and establishing best practices for data storage, integration, and retrieval. Ensure that our data systems are scalable, secure, and aligned with business requirements and industry best practices.

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.

• Work alongside Caylent’s Engineers, Engineering Managers, and Project Managers to deliver AWS solutions.
• Translate customer requirements into a workable backlog of tickets for engineers and delegate tickets to a team.
• Troubleshoot and resolve issues in customer dev, test, and production environments, and automate software testing.

Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). At Caylent, their people always come first, and they operate fully remote with employees in Canada, the United States, and Latin America.

• Design and own scalable, secure data architectures and pipelines across our platforms.
• Collaborate closely with data engineers, analysts, MLOps Lead, AI and Data Architects, and business stakeholders, to align architecture with business needs.
• Define and maintain data models, governance frameworks, reference architectures, guidelines, best practices and operating principles for our data and analytics platforms.

Redcare Pharmacy is Europe’s No.1 e-pharmacy, powered by passionate teams and cutting-edge innovation. They strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to their vision “Until every human has their health”.

• Design and deliver complex software solutions across hybrid environments.
• Manage data needs for the Pharmacy Application and drive related data science projects.
• Provide solutions for data requirements for a high-volume transaction processing platform, ML model development, and software application interfaces.

Cotiviti provides data-driven solutions that help healthcare organizations, retailers, and payers improve financial performance and operational efficiency.

As a Principal Decision Scientist, you will define high-level business objectives directly with clients, then develop and execute the project plan to meet those objectives. You will provide technical leadership to guide development work across teams while also owning and delivering specific technical components yourself. You will design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights.

Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences

• Design modern, enterprise-scale data architectures using dbt Cloud
• Partner with Sales to demonstrate the technical value of dbt Labs solutions
• Lead proof-of-concept engagements and technical evaluations for prospective customers

dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. They've grown from an open source project into the leading analytics engineering platform, now used by over 50,000 teams every week, with more than 5,400 dbt Cloud customers.