Symrise is a global supplier of fragrances, flavourings, cosmetic active ingredients and functional ingredients. Its clients include manufacturers of perfumes, cosmetics, food and beverages, the pharmaceutical industry and producers of nutritional supplements and pet food. Its sales of approximately € 5.0 billion in the 2024 fiscal year make Symrise a leading global provider. Headquartered in Holzminden, Germany, the Group is represented in more than 100 locations in Europe, Africa, the Middle East, Asia, the United States and Latin America. Symrise works with its clients to develop new ideas and market-ready concepts for products that form an indispensable part of everyday life. Economic success and corporate responsibility are inextricably linked as part of this process.Symrise - always inspiring more …Data Architect & Engineer, Singapore The Data Architect & Engineer is a key position helping to shape Symrise's enterprise‑wide data strategy, leading global architectural direction, and building the foundational capabilities that enable the company's digital and AI transformation at scale. This is more than just a job; it's a chance to be a key player in our digital transformation, directly impacting strategic initiatives and high-value use cases across the company. The Position:Data Architecture Leadership:Help define the enterprise data architecture vision and guide its execution globally, ensuring alignment with Symrise's strategic priorities and digital ambition
Implement and help refine data architecture, advising business stakeholders and subject matter experts and shaping long‑term technology roadmaps
Ensure transparency and coherence across the entire data lifecycle - where data originates, how it flows, how it is transformed, stored, enriched, and deployed
Shape source‑aligned, reusable data products as the backbone of AI, advanced analytics, regulatory responses, operational excellence, and future digital business models, covering both structured and unstructured data.
Strategic Lakehouse & Data Engineering:Steer the design and evolution of Symrise's global lakehouse as a strategic enterprise asset
Steer prioritization of data ingestion and modeling based on business value, ensuring readiness for AI, automation, and real‑time decisioning
Champion automation, modular engineering, and industrialization of ingestion and transformation processes to drastically reduce time‑to‑data across the enterprise
Ensure that structured and unstructured data - from R&D sensory data to customer interaction logs - are handled with best‑in‑class engineering and architectural approaches
Deliver source‑aligned, reusable data products as the backbone of AI, advanced analytics, regulatory responses, operational excellence, and future digital business models, in a timely manner based on Symrise Data & AI roadmap, covering both structured and unstructured data.
Cross‑Functional Influence & Business Partnership:Act as a bridge between business strategy and technical execution, ensuring data architecture decisions accelerate value creation, innovation, and competitive advantage
Partner with senior business leaders to understand their strategic ambitions and translate them into data and integration roadmaps
Play a visible role in driving Symrise's data and AI transformation, promoting data democratization, and enabling advanced AI use cases.
Transformation Leadership, Standards & Ecosystem Governance:Establish and refine standards, policies, and operating models for enterprise data architecture worldwide
Drive change management, ensuring adoption of modern engineering practices across regions and functions
Develop future capabilities by scouting emerging technologies, modernizing engineering practices, and fostering a culture of innovation.
The Ideal Candidate:Master's degree in computer science, data engineering, information dystems, or related fields; PhD beneficial.
3-5 years of experience in data architecture, data engineering, or similar roles
Demonstrated experience of working on enterprise data platform transformations and of designing & implementing enterprise Data Lakehouse / large‑scale data platforms
Track record influencing stakeholders and subject matter experts and shaping multi‑year digital strategies
Expertise in modern data stack technologies (e.g., Delta Lake/Iceberg, Spark, orchestration frameworks, event‑driven architectures, cloud analytics platforms
Experience building API‑first architectures and modern integration platforms a plus
Ability to work with both structured and unstructured data
Experience in working in complex, global, matrixed organizations a plus
Excellent English required, additional languages a plus.
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