Energy Drive Systems engineer developing motor - control and energy - optimization solutions for heavy industry. Assessing customer systems and supporting industrial projects from opportunity development through handover.
About the role
- Senior Solutions Architect leading a major data modernization initiative for a global hospitality company. Engaging with stakeholders to drive integration strategies and execution.
Responsibilities
- Lead requirements discovery workshops with stakeholders across Finance, Operations, Sales, Marketing, CRM, and Business Intelligence teams.
- Translate business objectives into scalable data integration and architecture solutions.
- Serve as the primary client-facing delivery lead alongside a Fractional vCTO.
- Coordinate with third-party software vendors to obtain integration requirements, negotiate technical specifications, and resolve implementation blockers.
- Establish and maintain data requirements for each source system throughout the engagement lifecycle.
- Collaborate with downstream analytics and modeling partners to define data warehouse consumption requirements.
- Drive project planning, status reporting, stakeholder communications, and executive updates.
- Produce key discovery-phase deliverables, including source system assessments, integration recommendations, implementation roadmaps, and vendor evaluations.
- Help shape architecture decisions for a modern enterprise data platform built on Microsoft Fabric and Azure technologies.
Requirements
- 8+ years of experience in Solutions Architecture, Data Architecture, or Enterprise Integration leadership roles.
- Proven experience leading large-scale data integration initiatives involving numerous business systems and stakeholders.
- Hands-on architecture experience with Microsoft Fabric, Azure data services, or comparable cloud data platforms.
- Strong background facilitating requirements gathering with executive stakeholders and operational leaders.
- Experience working directly with third-party SaaS vendors to define and negotiate integration approaches.
- Deep understanding of data warehouse architecture, governance, data contracts, and scalable ingestion patterns.
- Excellent written and verbal communication skills.
- Professional-level English proficiency.
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