What are the responsibilities and job description for the Data Solutions Architect position at Coforge?
Job Details
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
