As a Tech Lead 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 implementing the architectural blueprints for various Data Platforms.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 systemsIdentifying data sources, both internal and external, and working out a data management plan aligned with organizational data strategyCoordinating and collaborating with cross-functional teams, stakeholders, and vendors for the smooth functioning of the enterprise data ecosystemGuide the technical direction of data projects and initiatives.Ensure best practices in data engineering and analytics are followed. Integrating technical functionality, ensuring data accessibility, accuracy, and securityConducting 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 technology9+ years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projectsPrior experience building large scale enterprise data architectures using commercial and/or open-source Data Analytics technologiesAbility to produce client ready solution architecture, business understandable presentations and effective communication skills to lead and run workshopsData 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 LearningGood fundamentals around security integration including Kerberos authentication, SAML and data security and privacy such as data masking and tokenization techniquesGood knowledge in DevOps engineering using Continuous Integration/ Delivery toolsAn in-depth understanding of AWS Cloud solutionsExperienced in integrating into legacy systems and COTS solutionsCandidates ideally have experience in the below tools:Data Ingestion – Snaplogic, Glue, LambdaStorage – S3Processing – DatabricksDWH – Redshift, Databricks SQL WarehouseDatabases – RDSLanguage – Python (pyspark), SQL (sparksql), Java, RBI Tools – PowerBI, DASH, Spotfire, QlikCatalogue – Glue catalog, Unity CatalogStreaming – Kafka, EventhubAI/ML - MLOps, SagemakerStorage /  Dataframe work - S3, Deltalake, Iceberg, Parquet
Company Description

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.

Qualifications

Critical knowledge and education required for the job

University bachelor’s degree in science, Technology, Engineering or Mathematics (STEM)Fluency in EnglishStrong customer focus, communication, teamwork, and negotiation skillsExperience implementing data first solutionsIn depth technical experience, ideally AWS certified

Experiences to be Gained in the Job 

Continual upskilling in the latest technologies, tools, and design practicesLearning how R&D operatesBuild confident relationships with Syngenta internal customers

Development of leadership skills

Additional Information

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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