Data&Analytics Solutions Architect

As the Data&Analytics Solutions Architect in Research and Development, 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’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

As Data&Analytics Solutions Architect:

• Lead the technical design of a software ecosystem for scientists in Research and Development  
• Develop cloud infrastructure concepts and strategies to ensure use of cutting edge technologies while right sizing services for high performant and cost effective solutions. Drive infrastructure design delivery through Syngenta cloud team 
• Work closely with all stakeholders to convert business needs into pragmatic technology solutions  
• Ensure data on our platforms are Findable, Accessible, Interoperable and Reusable (FAIR) 
• Designs must enable access management and secure use of data for internal, external or public use 
• Be an active member of engineering communities  
• Be an active member of agile, self organizing, squads 
• Develops strong partnerships with R&D scientists in order to have full transparency and joint ownership of the technology strategy and progress towards it 

• 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 good communication skills to lead and run workshops
• Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming and real-time data pipelines
• Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as OLAP, or data vault
• Good fundamentals around security integration including Kerberos authentication, SAML and data security and privacy such as data masking and tokenisation 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 
• Awareness of emerging data technologies, e.g. data quality, data catalogue, knowledge graphs, metadata and ontology management platforms  
• Fluency in English, additional languages beneficial

• A role which contributes to valuable and impactful work in a stimulating and international environment
• Flexible working arrangements and environment with an open culture and diverse workforce, a possibility of working from home
• Competitive salary and benefits package
• The opportunity to work with and learn from highly qualified and experienced employees
• A culture that promotes work/life balance, celebrates diversity and offers numerous events throughout the year
• Learning culture and a wide range of development options, including access to learning platforms (Degreed, LinkedIn Learning, O’Reilly)
• High quality office environment

Syngenta has been ranked as a top employer by Science Journal.

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, marital or veteran status, disability, or any other legally protected status.

We are proud to stand at the forefront of the tech revolution in agriculture. Using the latest digital innovations, data, and cutting-edge technologies we want to reshape the industry through data-fueled intelligent science. This is only possible through digital science by smartly connecting, integrating and exploiting data from Research and Development to Commercial, to better tailor our products and grower advice.

In Crop Protection Development, we face once-in-a-lifetime digital opportunities. Applying our wealth of data in innovative ways, we can significantly accelerate our time to market for new products. We aim to assess a future product’s safety and efficacy much earlier in the R&D process than ever before, dramatically improving our pipeline reliability. 

Our business success reflects the quality and skill of our people. We recognize that human diversity is as important to our business as biodiversity. Embracing the unique perspectives and capabilities of our employees helps us continue to catalyze innovation, maximize performance, and create business value. Join us and help shape the future of agriculture.