10+ years of experience in data architecture, data engineering, or big data platforms.

· Hands-on experience with Snowflake is mandatory and experience on Databricks (including Delta Lake, Unity Catalog, DBSQL) is excellent-to-have, as an addition.

· Will work in Individual Contributor role with expertise in Apache Spark for large-scale data processing.

· Proficiency in Python, Scala, or SQL for data transformations.

· Experience with Azure and their data services (e.g., Azure Data Factory, Azure Synapse, Azure, Azure SQL Server ).

· Knowledge of data lakehouse architectures, data warehousing and ETL processes.

· Strong understanding of data security, IAM, and compliance best practices.

· Experience with CI/CD pipelines, Infrastructure as Code (Terraform, ARM templates, CloudFormation).

· Familiarity with MLflow, Feature Store, and MLOps concepts is a plus.

- Strong interpersonal and communication skills

· Snowflake certification

- · Databricks certification (e.g., Databricks Certified Data Engineer, Architect, or Machine Learning Associate/Professional).

· Experience with real-time data processing (Kafka, Kinesis, Event Hub).

· Understanding of GraphQL, REST APIs, and microservices for data integration.

📌 Data Architect (Noida)
🏢 XCEEDANCE
📍 Noida