Technical Lead Data Job in Syngenta

Tech Lead Data

Overview:

As a Tech Lead Data, you will provide technical leadership to a team of experts, helping implement information-driven strategies and systems that support agricultural scientists in developing solutions for growers. You will manage end-to-end implementation of data environments beyond architectural design, ensuring that real-life data systems are developed and executed efficiently.

You are a highly motivated problem solver with the ability to prioritize shifting workloads in a dynamic environment. You are an effective communicator and a confident leader passionate about making things happen within a fast-paced organization.

Key Responsibilities:

• Lead the development of data and analytics capabilities within the R&D node of the enterprise data mesh, implementing architectural blueprints for various data platforms.
• Develop and implement an organizational data strategy aligned with business processes, including data model design, database development standards, and management of data warehouses and analytics systems.
• Identify and manage both internal and external data sources, creating a data management plan aligned with the organizational strategy.
• Collaborate with cross-functional teams, stakeholders, and vendors to ensure the smooth functioning of the enterprise data ecosystem.
• Guide the technical direction of data projects and initiatives, ensuring best practices in data engineering and analytics.
• Integrate technical functionality to ensure data accessibility, accuracy, and security.
• Perform continuous audits of data management systems and address performance issues, reporting breaches or vulnerabilities to stakeholders.

Experience & Skills Required:

• 9+ years of experience in Big Data, data warehousing, data analytics, and/or Information Management projects.
• Proven experience building large-scale enterprise data architectures using both commercial and open-source Data Analytics technologies.
• Strong data modeling and architecture skills, including expertise in data warehousing, data normalization, and dimensional modeling (e.g., OLAP, data vault).
• Understanding of predictive modeling, Natural Language Processing (NLP), text analysis, and Machine Learning.
• Knowledge of security integration, including Kerberos authentication, SAML, data security, privacy techniques like data masking, and tokenization.
• Experience with DevOps engineering and Continuous Integration/Delivery tools.
• In-depth understanding of AWS Cloud solutions and integrating into legacy systems and COTS solutions.
• Familiarity with the following tools:
  • Data Ingestion: Snaplogic, Glue, Lambda
  • Storage: S3
  • Processing: Databricks
  • DWH: Redshift, Databricks SQL Warehouse
  • Databases: RDS
  • Languages: Python (pyspark), SQL (sparksql), Java, R
  • BI Tools: PowerBI, Dash, Spotfire, Qlik
  • Catalog: Glue catalog, Unity Catalog
  • Streaming: Kafka, EventHub
  • AI/ML: MLOps, SageMaker
  • Storage/Dataframe: S3, Deltalake, Iceberg, Parquet

Qualifications:

• University bachelor s degree in Science, Technology, Engineering, or Mathematics (STEM).
• Fluency in English.
• Strong customer focus with excellent communication, teamwork, and negotiation skills.
• In-depth technical experience, ideally with AWS certification.
• Experience implementing data-first solutions.

Experiences to be Gained:

• Continuous upskilling in the latest technologies, tools, and design practices.
• Exposure to R&D operations.
• Development of leadership and relationship-building skills with internal customers.

Company Description:

Syngenta Group is one of the world s leading sustainable agriculture innovation companies, with over 53,000 people in more than 100 countries. We strive to transform agriculture through tailor-made solutions for farmers, society, and the planet. We are committed to maintaining high standards of ethics, integrity, and creating an inclusive, discrimination-free workplace.

Additional Information:

Syngenta is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital status, veteran status, disability, or any other legally protected status.