enterprise data architect

Infinity Quest

<p>Position : Enterprise Architect</p><p>Client Name : Wipro and AA Airline [ Full time Wipro ]</p><p>Work Type : Re,ote</p><p><b>Role : Enterprise Architect</b></p><p>Location : Location Constraint (If any)/ Remote -Richfield, MN (preferred), else anywhere near Wipro office</p><p>Salary : $120-135k</p><p><b>Job Description:</b></p><p>Core Competencies</p><ul><li>AWS Machine Learning: Expertise in SageMaker, Bedrock, Vertex AI; capable of designing and deploying ML pipelines in production.</li><li>Enterprise Architecture Advisory (L3): Proven experience in architecting AI/ML solutions aligned with enterprise strategy.</li><li>Agentic AI Systems: Familiarity with LangGraph, Autogen Studio, LLM orchestration, autonomous agents, planning, memory, and tool execution.</li><li>AIOps Observability (L3): Deep knowledge of cloud-native observability tools (Grafana, Dynatrace, ELK).</li><li>Program Management (L3): Strong delivery leadership in AI/ML programs.</li></ul><p>Qualifications</p><ul><li>Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Data Science, or related field.</li><li>AWS Certified Machine Learning &ndash; Specialty or Solutions Architect &ndash; Professional preferred.</li><li>Minimum 5 years in enterprise architecture and AI/ML solutioning.</li></ul><p>Responsibilities</p><ul><li>Architect scalable Agentic AI systems for observability use cases.</li><li>Lead AWS ML integration and ensure performance, scalability, and governance.</li><li>Align technical solutions with enterprise goals and compliance frameworks.</li><li>Collaborate with cross-functional teams to deliver integrated AI solutions.</li><li>Establish responsible AI governance and data privacy frameworks.</li><li>Mentor teams on AI/ML architecture and observability best practices.</li></ul><p>Job Type: Full-time</p><p>Pay: $120.00 - $135.00 per year</p><p>Experience:</p><ul><li>AWS: 10 years (Preferred)</li><li>SAGE MAKER: 10 years (Preferred)</li><li>BEDROCK: 10 years (Preferred)</li><li>VERTEX AI : 10 years (Preferred)</li><li>Agentic  AI: 10 years (Preferred)</li><li>LANG GRAPH: 10 years (Preferred)</li><li>AUTO GEN STUDIO : 10 years (Preferred)</li><li>LLM: 10 years (Preferred)</li><li>GRAFANA: 10 years (Preferred)</li><li>DYNATRACE: 10 years (Preferred)</li><li>ELK: 10 years (Preferred)</li><li>AI/ML: 10 years (Preferred)</li><li>Solution architecture: 10 years (Preferred)</li><li>LEAD AWS ML INTEGRATION: 10 years (Preferred)</li></ul><p>Work Location: Remote</p>

Enterprise Architect

Hays Specialist Recruitment Limited

<p>Enterprise Architect - DV Cleared, Defence</p> <p>Up to £690 per day</p> <p>2 -3 days a week on site at locations across the UK</p> <p>4 months</p> <p>My client is an instantly recognisable consultancy who urgently require an Enterprise Architect with Active DV Clearance to join a business-critical programme for an end client within the Defence sector.</p> <p>Key Requirements:</p> <ul> <li>Proven commercial experience working as an Enterprise Architect within the Defence sector.</li><li>Active DV clearance.</li><li>Experience designing and evolving enterprise architecture frameworks aligned with defence standards and methodologies such as NAF and TOGAF</li><li>Previous experience of developing and maintaining multi-domain architecture views including application, data, technology, security, and business layers</li><li>Strong governance and assurance knowledge across complex defence programmes and secure environments</li><li>Familiarity with creating and managing architecture artefacts using tools like BizzDesign and Sparx EA, including system context diagrams and technology roadmaps</li><li>The ability to provide strategic architectural guidance and stakeholder-specific viewpoints for technical teams, programme boards, and senior leadership</li><li>Experience with ensuring compliance with defence security policies while collaborating with internal and external stakeholders to deliver integrated, cloud-enabled solutions</li></ul> <p>Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk</p>

Enterprise Architect - DV Cleared, Defence

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking a hands-on and visionary Data Architect to join the Data &amp; AI team. The ideal candidate will play a pivotal role in designing and implementing enterprise-grade data architectures leveraging Microsoft Fabric, Fabric Pipelines, and Notebooks, while driving data integration across enterprise applications.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Data Architecture &amp; Platform Design
</p></div><div><p>Architect and implement enterprise data platforms leveraging Microsoft Fabric, Fabric Pipelines, Notebooks, and Power BI.
</p></div><div><p>Define and maintain end-to-end data architecture blueprints, encompassing ingestion, transformation, storage, and consumption layers.
</p></div><div><p>Establish data modelling standards, metadata management, and lineage tracking frameworks.
</p></div><div><p>Design scalable data pipelines integrating diverse data sources and systems across the organization.
</p></div><div><p>Enterprise &amp; Application Integrations
</p></div><div><p>Lead technical discussions for new data source onboarding and application integrations across business units and applications.
</p></div><div><p>Collaborate with enterprise architects to define integration patterns using APIs, events, and microservices for seamless data exchange.
</p></div><div><p>Ensure interoperability between AI Solutions, ERP, CRM, and bespoke enterprise applications.
</p></div><div><p>Data Strategy &amp; Governance
</p></div><div><p>Contribute to defining data strategy roadmaps supporting digital transformation initiatives.
</p></div><div><p>Manage data governance stream to enforce data quality, cataloging, and compliance frameworks.
</p></div><div><p>Drive data standardization and harmonization across platforms to enable enterprise-wide analytics.
</p></div><div><p>Implementation &amp; Delivery
</p></div><div><p>Translate business requirements into technical blueprints and lead solution design across engineering squads.
</p></div><div><p>Oversee implementation of Fabric-based pipelines and notebooks, ensuring performance, scalability, and security.
</p></div><div><p>Guide data engineers and analysts through technical mentoring, reviews, and architectural alignment.
</p></div><div><p>Innovation &amp; Enablement
</p></div><div><p>Champion the adoption of modern data practices, automation, and self-service analytics enablement.
</p></div><div><p>Drive PoCs and accelerators to integrate AI/ML-ready data architectures.
</p></div><div><p>Continuously evaluate emerging technologies to future-proof the data ecosystem.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Education &amp; Experience:
</p></div><div><p>Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
</p></div><div><p>8-12 years of experience in data architecture, data engineering, or enterprise data platform design.
</p></div><div><p>Proven experience in Microsoft Fabric implementation, including Fabric Pipelines, Notebooks, and Power BI integration.
</p></div><div><p>Strong command of SQL, PySpark, and Python for data transformation and orchestration.
</p></div><div><p>Experience leading data source integrations and application data flow design discussions.
</p></div><div><p>Familiarity with Azure Data Lake, Azure SQL, and data modeling (3NF, Dimensional, Data Vault).
</p></div><div><p>Deep understanding of data governance, cataloguing, and data quality frameworks.
</p></div><div><p>Prior exposure to enterprise-scale integrations involving ERP/CRM platforms (Oracle, Dynamics).
</p></div></div><p>Nice to have
</p><div><div><p>Soft Skills
</p></div><div><p>Strong analytical and architectural problem-solving skills.
</p></div><div><p>Excellent communication and ability to articulate complex data concepts to technical and business stakeholders.
</p></div><div><p>Collaborative mindset, capable of working across multi-disciplinary teams.
</p></div><div><p>Strategic thinker with an execution-driven attitude.
</p></div><div><p>Preferred Certifications
</p></div><div><p>Microsoft Certified: Fabric Analytics Engineer Associate
</p></div><div><p>Azure Data Engineer Associate or equivalent certifications
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-118739
</p></div><div></div><div><div><p>Data Architecture
</p></div><div><p>BCM Industry</p>
</div><div><p>13/11/2025
</p></div><div><p>Req. VR-118739</p></div></div></div><p></p>

Data Architect

Capgemini - Zcomme

The Role
<br>We are seeking a visionary Enterprise Architect to lead the design and evolution of our enterprise-wide IT architecture, with a strong emphasis on AI-driven solutions and banking domain expertise. The ideal candidate will align business strategy with technology, ensuring scalable, secure, and innovative architectures that leverage AI to drive business value. Key Responsibilities Enterprise Architecture - Define and maintain the enterprise architecture framework, ensuring alignment with business goals and technology roadmaps. AI Integration - Lead the design and implementation of AI/ML solutions, including data pipelines, model deployment, and integration with enterprise systems. Banking Domain - Leverage deep understanding of banking processes, regulations, and technologies to architect solutions that meet industry-specific needs. Technology Strategy - Evaluate and recommend emerging technologies, tools, and platforms to enhance enterprise capabilities. Stakeholder Collaboration - Work with business leaders, IT teams, and vendors to ensure architecture supports business objectives and innovation. Governance & Compliance - Ensure architectures adhere to regulatory, security, and compliance standards, especially in the banking sector. • Design thinking, which enables synthesizing of many ideas into big picture view that shows between business intention and business action • Understanding of how markets influence business, what are the differentiating factors, what and how value is created • Soft skills, knowledge of business, systems thinking, change management techniques, awareness in business changes in the economic environment and technology’ • Sound understanding of business principles and concepts • Breadth of knowledge across all aspects of architecture design, delivery, operations and evolution • Knowledge of architecture best practices across the different architecture capabilities • Thorough knowledge of banking IT systems and applications • Business transformation and alternative delivery methods • Significant experience in translating the business needs in IT systems and operations • Understanding of technology strategy, development lifecycle and alternative delivery methods • Strong knowledge of Product / service Development, Project and Program management methodologies • Strong acumen in customer experience and relationship management • Problem solving abilities including analytical and design thinking, creativity, pattern recognition, problem resolution, logical & holistic thinking, and decision making • Effective communication abilities including convincing, influencing, teaching, negotiating skills, leadership, bridge building and being political astute, and presentation creation and delivery • Execution Excellence in planning & organizing, time management, process orientation, quality & cost, and ability to work independently
<br><br>
Requirements
<br>Qualifications & Skills Education • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Experience • 10+ years in IT, with at least 5 years in enterprise architecture. Proven experience in AI/ML and banking/financial services is highly desirable. • 10+ years of overall experience including architecture design, application development or project management • 5+ years of experience in architecture practice Technical Skills • Strong knowledge of enterprise architecture frameworks (TOGAF, Zachman), cloud platforms, data architecture, AI/ML technologies, and banking systems. AI/ML Expertise • Hands-on experience with AI/ML models, data science platforms, and integration of AI solutions into enterprise systems. Certifications • Relevant certifications (TOGAF, AWS/Azure Architect, AI/ML, etc.) are a plus. Soft Skills • Excellent communication, leadership, and problem-solving abilities
<br><br>
About the company
<br>Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 350,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of 22 billion.

Enterprise Architect (AI & Banking Domain)

Domnic Lewis Pvt. Ltd

<div>Purpose of the Role The Azure Data &amp; Integration Architect will lead enterprise-wide data and integration initiatives, leveraging Microsoft Azure and Databricks to drive digital transformation, operational efficiency, and data-driven decision-making. This role focuses on architecting scalable data pipelines, designing a unified lakehouse platform, enabling advanced analytics, and integrating enterprise systems across SAP and non-SAP landscapes.<p></p>
Key Responsibilities Data Architecture &amp; Analytics Architect and implement scalable ELT/ETL pipelines using Azure Data Factory (ADF). Develop and optimize data processing and analytics workflows in Azure Databricks using PySpark and Delta Lake. Implement Delta Live Tables, Unity Catalog, and Azure Purview for governance, data lineage, and access control. Design and deploy enterprise data models and analytical layers using Azure Synapse Analytics. Enable enterprise reporting and self-service analytics through Power BI integration. Manage both structured and unstructured data using Azure Blob Storage and Azure Data Lake Storage Gen2. Collaborate with data scientists and business teams to enable machine learning and predictive analytics use cases. Define and enforce data architecture standards, naming conventions, and performance best practices. Integration &amp; Enterprise Connectivity Design and implement integrations between SAP and non-SAP systems using SAP CPI, Azure API Management, and REST/SOAP APIs. Ensure secure and scalable data flow across on-premises, cloud, and hybrid environments. Implement API authentication and security protocols (OAuth 2.0, JWT, SAML). Integrate enterprise applications with Azure Entra ID for identity and access management. Establish reusable integration patterns and frameworks for enterprise-wide adoption. Governance, Security &amp; Compliance Ensure data quality, lineage, and governance across the analytics ecosystem. Implement security and compliance controls aligned with GxP, 21 CFR Part 11, and corporate IT policies. Monitor cost and performance optimization across Azure services. Oversee DevOps and CI/CD pipelines for automated deployment and testing using Azure DevOps. Leadership &amp; Collaboration Collaborate closely with cross-functional IT, data, and business teams. Conduct technical design reviews, mentor developers, and ensure adherence to architectural standards. Support vendor evaluations, solution assessments, and proof-of-concept initiatives. Communicate complex technical concepts effectively to senior management and business stakeholders. Education &amp; Qualifications Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or related field. MBA is a plus. Mandatory Requirements Minimum 10+ years of experience in data analytics, engineering, and enterprise integration. Proven experience architecting enterprise-scale data platforms on Azure. Strong hands-on expertise in Azure Databricks (PySpark, Delta Lake, Unity Catalog). Proficiency in Azure Data Factory, Azure Synapse Analytics, Power BI, Blob Storage, and Data Lake Gen2. Experience integrating SAP systems (S/4HANA, SuccessFactors, MES, LIMS, CRM) with Azure and other platforms. Proficient in integration technologies (SAP CPI, Azure API Management, middleware platforms). Deep understanding of data security and identity protocols (OAuth, JWT, SAML) and Azure Entra ID. Familiarity with GxP-compliant data handling and governance practices. Desirable Requirements Experience in pharmaceutical manufacturing and regulatory environments. Exposure to Azure DevOps, Terraform, or ARM templates for infrastructure automation. Knowledge of modern data architecture principles (Lakehouse, Data Mesh, ELT). Preferred Certifications Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Data Engineer Associate Microsoft Certified: Identity and Access Administrator Associate SAP Certified Technology Associate - SAP Integration Suite TOGAF or equivalent Enterprise Architecture certification Preferred Industry Experience Pharmaceutical Manufacturing<p></p>
Regulated Environments (GxP, FDA, ISO)<p></p>
Experience Minimum 10 years in data architecture, analytics, and enterprise integration roles.</div><p></p>

Automation/Integration Architect

Accenture

<p><b>Project Role : </b>Data Architect<br>
<b>Project Role Description : </b>Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
<br>
<b>Must have skills : </b>Databricks Unified Data Analytics Platform<br>
<b>Good to have skills : </b>Data Architecture Principles<br>
Minimum <b>12</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
Summary: Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation. As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the data architecture aligns with the overall business objectives and technical specifications. You will collaborate with various teams to ensure that the data solutions are efficient, scalable, and meet the needs of the organization. Your role will also require you to stay updated with the latest trends in data architecture and analytics, applying best practices to enhance data management processes. Roles &amp; Responsibilities:- Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact. - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate workshops and discussions to gather requirements and feedback from stakeholders. - Mentor junior professionals in data architecture best practices and methodologies. Professional &amp; Technical Skills:- Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization. Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Strong understanding of data modeling techniques and best practices. - Experience with data integration tools and ETL processes. - Familiarity with cloud data storage solutions and architectures. - Knowledge of data governance and compliance standards. Additional Information:- The candidate should have minimum 12 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Mumbai office. - A 15 years full time education is required.</p>
<br>
15 years full time education

Syngenta Group

<div><b>Company Description</b><p><br>
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 &amp; Digital, your expertise will directly impact food security and shape the future of agriculture through cutting-edge technology.</p><p>
Website address - https://www.syngentagroup.com/</p><b><br>
Job Description</b><p><b><br>
Purpose</b></p><p>
The Data Architect &ndash; Corporate Functions leads high-priority data initiatives, leveraging Databricks to solve complex data challenges for data scientists, AI agents and data consumers. Acting as the bridge between functional data experts and technical data engineers, this role translates business needs into robust, scalable, and well-governed data solutions.</p><p>
This position is accountable for the end-to-end design, deployment, and user experience of data and analytics products supporting Corporate Functions (Finance, HR, Indirect Procurement, Legal, Facility Management, etc.). The Data Architect owns the full data landscape for intelligent solutions delivered by IT&amp;D teams, including architectural design, proof-of-concept implementation, and management of development, testing, and production environments.</p><p>
As a key enabler in the Corporate Functions&rsquo; Data &amp; AI journey, the Data Architect ensures data is interoperable, high-quality, well-governed, and hosted on the right platforms. The role works closely with the Central Data &amp; Analytics Architecture team to align functional and enterprise-wide needs, ensure the right technologies are in place, and embed Corporate Functions within the organization&rsquo;s Data Mesh framework.</p><p><b>
Accountabilities</b></p><ul><li><b>
Solution Design for Corporate Functions:</b><ul><li>
Design and implement <b>Databricks-centered</b> data architectures and patterns to meet the needs of Finance, HR, Procurement, Legal, and other corporate functions.</li><li>
Ensure solutions meet requirements for reporting, analytics, and AI/ML, while aligning with enterprise data and security standards.</li></ul></li><li><b>
Domain &amp; Data Product Architecture:</b><ul><li>
Architect data products and data domains within a Data Mesh framework, defining ownership, quality controls, and security measures for corporate function datasets.</li><li>
Translate business requirements from corporate stakeholders into scalable, maintainable data designs.</li></ul></li><li><b>
Data Modelling &amp; Platform Build:</b><ul><li>
Lead the design of logical and physical data models for corporate function data warehouses and lakehouse environments.</li><li>
Guide Data Engineers in implementing these models and building data pipelines.</li></ul></li><li><b>
Leadership &amp; Collaboration</b><ul><li>
Lead and mentor Data Engineers, SMEs, and external consultants working on corporate function data initiatives.</li><li>
Work closely with business analysts, product owners, and governance teams to ensure solutions meet functional and compliance needs.</li></ul></li><li><b>
Integration &amp; Automation</b><ul><li>
Architect integration solutions using AWS Glue, Fivetran, and SnapLogic for both batch and real-time data flows.</li><li>
Collaborate with platform teams to automate CI/CD for AWS-hosted data platform components.</li></ul></li><li><b>
Migration &amp; Modernization</b><ul><li>
Contribute to migration strategies from legacy corporate data platforms into the Data Mesh and lakehouse environments.</li></ul></li></ul><p><b>
Professional Experience:</b></p><ul><li>
15+ years of overall professional experience, including:<ul><li>
10+ years in architecting enterprise-scale data solutions.</li><li>
4+ years designing FAIR (Findable, Accessible, Interoperable, Reusable) data products optimized for AI consumption.</li></ul></li><li>
Significant experience in corporate functional domains such as Finance, HR, Procurement, or Legal.</li></ul><p><b>
Technical Expertise:</b></p><ul><li><b>
Data Platforms &amp; Cloud:</b> Deep expertise in Databricks and AWS (Redshift, S3, Glue, Lambda, EFS, RDS, Athena, EMR, Spark).</li><li><b>
Programming &amp; Scripting:</b> Proficient in Python and Linux Bash for automation, ETL, and orchestration.</li><li><b>
Integration &amp; Tools:</b> Skilled in Fivetran, SnapLogic, and collaboration platforms (Jira, Bitbucket, Confluence).</li><li><b>
Data Modelling:</b> Strong capabilities in logical, physical, and dimensional modelling; optimization for both row-based and columnar environments.</li><li><b>
Architecture Best Practices:</b> Ability to design solutions aligned with the AWS Well-Architected Framework and Databricks best practices across compute, storage, database, networking, security, governance, and ML service categories.</li><li><b>
Enterprise Systems:</b> Experience integrating data from SAP ECC/S4, Ariba, Workday, and other corporate platforms.</li><li><b>
Multi-Cloud Awareness: </b>Understanding of Azure and Google Cloud offerings for hybrid and multi-cloud strategies</li></ul><p><b>
Methodologies &amp; Practices:</b></p><ul><li><b>
Data Governance:</b> Extensive experience implementing governance frameworks within Data Mesh architectures.</li><li><b>
AI-Ready Architectures:</b> Proven ability to design data products and pipelines optimized for AI/ML consumption.</li><li><b>
Agile Delivery:</b> Hands-on leadership in Scrum/Agile environments, including roles as Product Owner or Scrum Master.</li><li><b>
CI/CD &amp; Automation:</b> Skilled in designing and maintaining CI/CD pipelines for data solutions.</li></ul><p><b>
Key Competencies:</b></p><ul><li><b>
Strategic Thinking &amp; Problem Solving:</b> Ability to analyse and simplify complex problems, articulate trade-offs for informed decision-making, and make appropriate recommendations.</li><li><b>
Collaboration &amp; Influence:</b> Excellence in collaboration, cross-functional expectation management, and influencing skills.</li><li><b>
Business Acumen:</b> Ability to translate business requirements into databases, data warehouses, and data streams.</li><li><b>
Data Management:</b> Experience in creating procedures to ensure data accuracy and accessibility; analysing, planning, and defining data architecture frameworks (including security, reference data, metadata, and master data); and creating and implementing data management processes and procedures.</li><li><b>
Stakeholder Engagement:</b> Proven ability to collaborate with other teams within the organization to devise and implement data strategies, build models, and assess shareholder needs and goals.</li><li><b>
Innovation:</b> Aptitude for researching data acquisition opportunities and developing application programming interfaces (APIs) to retrieve data.</li><li><b>
Communication:</b> Excellent written, verbal, and meeting facilitation skills.</li></ul><br>
<b>
Qualifications</b><p><br>
Bachelor's or Master's degree in informatics, computer science, or a related Data &amp; Analytics field.</p><b><br>
Additional Information</b><p><br>
Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status.</p><p>
Follow us on: LinkedIn</p><p>
LI page - https://www.linkedin.com/company/syngentagroup/posts/?feedView=all</p></div>

Data Architect - Corporate Functions

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