
1001 - 5000 employees
Founded 1996
🤝 B2B
💼 Consulting
B2B • Data Analytics • Consulting
Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.
🕒 July 22
🗣️🇪🇸 Spanish Required
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1001 - 5000 employees
Founded 1996
🤝 B2B
💼 Consulting
B2B • Data Analytics • Consulting
Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.
• Lead architecture discovery sessions and collaborate with stakeholders to understand business goals, technical requirements, and long-term platform objectives • Define and maintain the target-state architecture for enterprise data and analytics platforms • Develop high-level and detailed solution designs that balance scalability, performance, security, maintainability, and business value • Provide technical leadership throughout the solution lifecycle, from concept through implementation • Design and guide enterprise data platform ecosystems that support analytics, reporting, operational data needs, and future business growth • Define architecture patterns for data ingestion, transformation, storage, integration, and consumption • Establish standards and best practices for data pipelines, platform services, and engineering frameworks • Ensure solutions support high levels of reliability, extensibility, and operational efficiency • Establish architectural standards, reference models, design principles, and governance frameworks • Provide guidance on technology selection, platform capabilities, tooling strategies, and implementation approaches • Drive consistency across projects by promoting reusable patterns, automation, and best practices • Review solution designs and implementation plans to ensure alignment with enterprise architecture standards • Define strategies for platform observability, monitoring, operational readiness, and supportability • Guide the implementation of data quality, reliability, and governance frameworks across the platform • Establish operational processes, runbooks, support models, and performance monitoring standards • Partner closely with engineering, data, product, and business teams to align technology solutions with strategic objectives • Facilitate architecture discussions and provide technical recommendations to stakeholders at multiple organizational levels • Mentor technical teams and support knowledge sharing across architecture and engineering functions • Influence technical direction and drive alignment across multiple workstreams and initiatives
• 7+ years of experience in Solution Architecture, Data Architecture, Cloud Architecture, or related technology leadership roles • Strong experience designing and implementing enterprise-scale data and analytics platforms • Deep understanding of data architecture, data engineering frameworks, and modern cloud-based data ecosystems • Experience defining architecture patterns for data ingestion, processing, integration, storage, and analytics • Strong knowledge of platform governance, architecture standards, and technology strategy • Experience guiding technical teams through solution design and implementation activities • Excellent analytical and problem-solving skills • Strong communication and stakeholder management skills, with the ability to influence technical and business decision-makers • Ability to translate complex technical concepts into clear business outcomes
• 100% remote work • International and multicultural projects • Opportunities to work with leading technologies in the Digital Commerce ecosystem • Access to training programs and continuous professional development • Professional growth opportunities and internal mobility • A culture built on collaboration, innovation, and continuous learning
Apply Now🕒 July 16
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