Syngenta Group is one of the world’s leading sustainable agriculture innovation companies, with roots going back more than 250 years. Our 53,000 people across more than 100 countries strive every day to transform agriculture through tailor-made solutions for the benefit of farmers, society and our planet – making us the world’s most local agricultural technology and innovation partner.

Syngenta Group is committed to operating at the highest standards of ethics and integrity. This is a commitment that we are making to investors, customers, society and employees. Syngenta Group is also
Committed to maintaining a workplace environment free from discrimination and harassment.

Purpose 

As a Lead Architect Data, you will provide technical leadership in a team of highly skilled experts working to implement information-driven strategies and systems that help agricultural scientists develop solutions for growers. You will go beyond architectural design and provide end to end implementation of real-life data environments.  

You are a highly motivated individual with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. You are an effective communicator; you will be a confident leader equipped with strong leadership skills and a genuine passion to make things happen in a dynamic organization. 

Key Accountabilities 

• Spearhead the advancement of our data and analytics capabilities within the R&D node of our enterprise data mesh by defining and implementing the architectural blueprints for 

• In The consolidation and evolution of our solutions for data ingestion, storage, processing, and analytical insight generation Artificial intelligence (AI) and machine learning (ML) services for R&D 

• Reworking our R&D reference data management, material identity management, and semantic relationship management solutions to enable l interoperability, advanced analytics 

• Developing and implementing an organizational data strategy in line with business processes. The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems 

• Identifying data sources, both internal and external, and working out a data management plan aligned with organizational data strategy 

• Coordinating and collaborating with cross-functional teams, stakeholders, and vendors for the smooth functioning of the enterprise data ecosystem 

• Managing end-to-end data architecture, from selecting the platform, designing the technical architecture, and developing the application to finally testing and implementing the proposed solution 

• Integrating technical functionality, ensuring data accessibility, accuracy, and security 

• Conducting a continuous audit of data management system performance, refine whenever required, and report immediately any breach or loopholes to the stakeholders 

Experience/Previous Jobs Required for the Job 

• Experience in D&A platforms. Includes analysis and translation of requirements into technical specifications and who directs the day-to-day implementation activities of the DevOps team. Should be hands-on on all specified technology 

• 9+ years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects 

• Prior experience building large scale enterprise data architectures using commercial and/or open-source Data Analytics technologies 

• Ability to produce client ready solution architecture, business understandable presentations and effective communication skills to lead and run workshops 

• Data modelling and architecting skills including solid foundation in data warehousing concepts, data normalization, and dimensional data modelling such as OLAP, or data vault. 

• Understanding of predictive modeling, NLP and text analysis, Machine Learning 

• Good fundamentals around security integration including Kerberos authentication, SAML and data security and privacy such as data masking and tokenization techniques 

• Good knowledge in DevOps engineering using Continuous Integration/ Delivery tools 

• An in-depth understanding of AWS Cloud solutions 

• Experienced in integrating into legacy systems and COTS solutions 

• Candidates ideally have experience in the below tools: 

• Data Ingestion – Snaplogic, Glue, Lambda 

• Storage – S3 

• Processing – Databricks 

• DWH – Redshift, Databricks SQL Warehouse 

• Databases – RDS 

• Language – Python (pyspark), SQL (sparksql), Java, R 

• BI Tools – PowerBI, DASH, Spotfire, Qlik 

• Catalogue – Glue catalog, Unity Catalog 

• Streaming – Kafka, Eventhub 

• AI/ML - MLOps, Sagemaker 

Critical knowledge and education required for the job 

• University bachelor's degree in science, Technology, Engineering or Mathematics (STEM) 

• Fluency in English 

• Strong customer focus, communication, teamwork, and negotiation skills 

• Experience implementing data first solutions 

• In depth technical experience, ideally AWS certified 

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.

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