Snowflake Architect/Data Architect

About Us:

CodeForce 360 is a trusted global IT talent partner helping Fortune 500 companies, system integrators, and enterprise organizations build high-performing technology teams. With over 16 years of industry expertise, we combine speed, precision, and market intelligence to deliver exceptional talent across today's most in-demand technologies.

About the Job-

We are looking for an experienced Snowflake Architect/Data Architect to join one of our enterprise client engagements. The ideal candidate should have strong expertise in Snowflake, AWS, Azure, SQL, ETL/ELT along with experience working in fast-paced enterprise environments.

Job Description:

• Design and architect scalable, secure, and high-performance data solutions using Snowflake.
• Develop modern cloud data architecture and data platforms supporting analytics, reporting, and AI/ML workloads.
• Define data models, data pipelines, data integration patterns, and data governance standards.
• Design and implement Snowflake data warehouses, data lakes, and lakehouse architectures.
• Work with AWS/Azure/Google Cloud Platform cloud services and integrate Snowflake with various data sources.
• Develop and optimize ETL/ELT pipelines using tools such as Databricks, Azure Data Factory, Informatica, or equivalent.
• Implement Snowflake features including Streams, Tasks, Snowpipe, Dynamic Tables, Time Travel, and Secure Data Sharing.
• Optimize Snowflake performance, compute usage, storage, and overall cost.
• Establish security frameworks including RBAC, data masking, row-level security, encryption, and access controls.
• Collaborate with business, engineering, and analytics teams to translate requirements into technical architecture.
• Provide technical leadership and mentor data engineers and developers.
• Create architecture diagrams, technical documentation, standards, and best practices.

Required Skills:

• 8+ years of experience in Data Engineering / Data Architecture.
• Strong hands-on experience with Snowflake and cloud data architecture.
• Strong SQL and data modeling skills.
• Experience with ETL/ELT, data integration, and data pipelines.
• Experience with Databricks and/or Spark.
• Strong knowledge of AWS, Azure, or Google Cloud Platform.
• Experience with data governance, security, performance tuning, and cost optimization.
• Experience designing enterprise-scale data platforms.
• Strong communication and stakeholder management skills.