Job Title: Data Solutions Architect

Skills: SnowFlake, Data Architect, AWS / Azure Solution architect, Big Data Architect, Database Designer, Big Data,

Experience: 13 to 18 Years

Location: Jersey City, New Jersey

Job Type: Full-time

We at Coforge are hiring Data Solution Architect with the following skillset:

• Data Architect & Cloud Migration
• Design and deliver data solutions on AWS/Azure cloud platforms utilizing Snowflake, Big Data, data lakes, data warehouses, and analytics tools.
• Ensure solutions meet both business needs and technical requirements.
• Develop data migration strategies for RDBMS databases to cloud environments (AWS/Azure) and Snowflake.
• Build scalable data warehouses on AWS using Snowflake and S3, enabling efficient storage, processing, and analysis of diverse data formats (structured, semi-structured, unstructured).
• Migrate on-premises Netezza databases to AWS Snowflake.
• Optimize existing data systems for performance, cost-efficiency, and robust governance/security policies. (e.g., migrate Hadoop systems to AWS EMR for ETL processing).
• Design data architecture frameworks for data ingestion pipelines on Azure, handling heterogeneous on-premises sources in batch and near-real-time processing.
• Implement enterprise-grade data lakes and data warehouses on Azure using data modeling, database design, and development tools (Data Lake, Synapse, Power BI, SQL Server).
• Successfully architect and implement real-time data ingestion pipelines from streaming sources to S3 and Snowflake, utilizing Kafka, Snowpipe, staging tables, SnowSQL, and AWS KMS.
• Gather and analyze business and technical requirements from legacy PySpark systems migrated to SnowSQL environments.
• Data Architecture: Design and implementation of data solutions across various cloud platforms and data technologies.
• Cloud Migration: Expertise in migrating data from on-premises sources to cloud environments.
• Data Warehousing & Analytics: Building and managing scalable data warehouses for efficient data analysis.
• Real-time Data Processing: Implementing pipelines for near-real-time data movement and processing.