Data Architect for Commercial at Syngenta Group

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

13 May, 26

Salary

0.0

Posted On

12 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Databricks, Delta Lake, Delta Live Tables, MLflow, Medallion Architecture, Unity Catalog, ETL/ELT, Spark, Auto Loader, Structured Streaming, Kafka, Kinesis, Pub/Sub, REST APIs, PySpark, SQL

Industry

Farming

Description

Company Description Syngenta is one of the world’s leading agriculture innovation company (Part of Syngenta Group) dedicated to improving global food security by enabling millions of farmers to make better use of available resources. Through world class science and innovative crop solutions, our 60,000 people in over 100 countries are working to transform how crops are grown. We are committed to rescuing land from degradation, enhancing biodiversity and revitalizing rural communities. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. To learn more visit: www.syngenta.com Job Description Role Summary Syngenta is looking for a proactive and driven Data Architect to join our cloud and Data Ops team. In this role, you will work on designing the system architecture and solution, ensuring the platform is scalable while performant, and creating automated data pipelines. Responsibilities: Design and lead implementation of end-to-end Databricks Lakehouse Platforms using Delta Lake, Delta Live Tables, and MLflow. Architect Medallion Architecture (Bronze/Silver/Gold) for structured, semi-structured, and streaming workloads. Implement governed Lakehouse patterns using Unity Catalog for access control, lineage, data classification, and secure sharing. Build scalable ETL/ELT pipelines using Databricks Notebooks, Workflows, SQL Warehouses, and Spark-based transformations. Develop real-time streaming pipelines with Auto Loader, Structured Streaming, and event-driven platforms (Kafka, Kinesis, Pub/Sub). Integrate Databricks with cloud-native services such as AWS Glue, Azure Data Factory, and GCP Dataform. Define distributed integration patterns using REST APIs, microservices, and event-driven architectures. Enforce data governance, RBAC/ABAC, encryption, secret management, and compliance controls. Optimize Delta Lake tables, Spark workloads, and cluster configurations using Photon and autoscaling patterns. Drive cloud cost optimization across storage, compute, and workflow orchestration. Participate in architecture reviews, set standards, and support engineering teams throughout execution. Stay current on Databricks capabilities including Unity Catalog updates, Lakehouse Federation, serverless compute, and AI/ML features. Qualifications Bachelor’s or master’s degree in computer science, Data Engineering, or related field. 10+ years of experience in enterprise software, cloud architecture, or data engineering roles. Strong hands-on experience with Databricks, Apache Spark, Delta Lake, and Lakehouse platform design. Experience implementing and administering Unity Catalog for governance, lineage, and fine-grained access control. Experience designing Medallion Architecture for analytics and engineering workloads. Hands-on experience with cloud platforms such as AWS, Azure, or GCP, including storage, compute, and networking services. Experience with streaming technologies such as Kafka, Kinesis, or Pub/Sub. Strong understanding of data modeling, workflow orchestration (Airflow, Databricks Workflows, dbt), and pipeline automation. Familiarity with Scala-based Spark workloads in addition to PySpark and SQL pipelines. Skilled in performance tuning, Spark optimization, cluster policies, and cloud cost management. Excellent communication skills for technical leadership and stakeholder collaboration. Certifications in Databricks, AWS Solution Architecture, or TOGAF are a plus. 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. Follow us on: Twitter & LinkedIn https://twitter.com/SyngentaAPAC https://www.linkedin.com/company/syngenta/ India page https://www.linkedin.com/company/70489427/admin/

Responsibilities

The Data Architect will be responsible for designing the system architecture and solution for the cloud and Data Ops team, ensuring the platform is scalable and performant while creating automated data pipelines. Key duties include leading the implementation of Databricks Lakehouse Platforms using Delta Lake and architecting the Medallion Architecture for various workloads.