Syngenta Group
Agricultural Innovation
LeadDataSolutionsArchitect
Neural analysis suggests this role is
optimal for mid candidates.
“Lead Data Solutions Architect at Syngenta Group. Skills: Data Architecture, AWS, Databricks, AI/ML. Serve as trusted architectural authority. Accelerate delivery of data mesh, data science, ML, and GenAI use cases”
What You'll Achieve.
Deliver measurable business value; Accelerate delivery of data mesh, data science, ML, and GenAI use cases; Ensure solutions are secure, scalable, resilient, and cost-effective; Deliver significant business value
Industry & Context.
Creative; Motivated
What They're Looking For.
Must Have
Bachelor’s degree in computer science, Information Technology, or related field
Nice to Have
Deep knowledge of modern cloud data architectures on AWS, Expert-level experience designing and operating Databricks Lakehouse platforms on AWS, Mastery of Delta Lake concepts, Solid grounding in data modelling paradigms, Hands-on experience with enterprise metadata and governance tooling, Capability in infrastructure-as-code, Hands-on experience applying DataOps principles, Demonstrated ability to apply cloud cost management, Proven experience architecting data platforms that support ML and Generative AI, Exposure and deep appreciation for AII, Ontologies and Knowledge Graphs
What You'll Do.
Serve as trusted architectural authority
Accelerate delivery of data mesh
Translate enterprise architecture blueprints into solutions
Provide feedback to evolve standards
Act as primary Data architect and trusted advisor
Support initiatives from ideation through to production
Ensure enterprise principles are applied pragmatically
Design and document end-to-end data
Review and guide solution designs
Shape domain data and AI strategy
Act as voice of business domain
Provide structured feedback to central teams
Represent business function in forums
Ensure solutions meet standards
Champion architectural best practices
Balance governance with enablement
Identify opportunities for data
Advise on DataOps principles
Support maturation of data product and AI operating model
How You'll Work.
Team & Collaboration
Partner with business stakeholders, product managers, and engineering teams; Work closely with domain leadership; Act as the voice of the business domain within central communities; Collaborate with central teams
Communication Scope
Stakeholder influence; Communication skills; Clear and effective communicator
Process & Methodology
Prioritization of initiatives, Sequencing of initiatives
Full Job Description
Join Syngenta Group, a leader in agricultural innovation where technology meets purpose. As digital pioneers in AgTech, we're integrating AI across our value chain from smart breeding to precision agriculture. Our global team of 56,000 professionals is transforming sustainable farming worldwide. At Syngenta IT & Digital, your expertise will directly impact food security and shape the future of agriculture through cutting-edge technology. Website address - We are seeking a Lead Data Architect to serve as a critical bridge between the EDO Enterprise Solution Architecture team and our business domains, with a strong focus on AI-aligned data initiatives. This role is embedded within a specific business function, serving as the domain’s trusted architectural authority to accelerate delivery of data mesh, data science, ML, and GenAI use cases. The primary objective is to translate enterprise architecture blueprints, platforms, and standards into tangible, high-value solutions, while providing continuous feedback to evolve those standards based on real-world applications. This is a hands-on architectural leadership role requiring deep expertise in AWS and Databricks, modern cloud data architectures, and strong stakeholder influence and communication skills Key Accountabilities Architectural Enablement & Leadership * Act as the primary Data architect and trusted advisor for the embedded business function, supporting initiatives from ideation through to production. * Ensure enterprise Data, ML, and AI architecture principles are applied pragmatically to deliver measurable business value. Solution Architecture & Design * Partner with business stakeholders, product managers, and engineering teams to understand business use cases and constraints. * Design and document end-to-end data, aligned with enterprise standards for: o Data mesh and domain-oriented data products o DataOps, MLOps, and emerging AgentOps practices o AI-aligned data patterns (feature stores, RAG pipelines, in
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