Sr. Data Architect - Snowflake

Job Title: Senior Data Architect - Snowflake

Experience: 12+ years

Budget: Up to 38 LPA

Notice Period: Immediate to 30 days

Location: Trivandrum, Bangalore, Chennai

Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field

Skill Set: Snowflake experience, Data Architecture experience, ETL process experience, Large Data migration solutions experience , data modelling, schema design DBT , Python/Java/Scala, SQL, ETL process , cloud data warehousing concept , data integration , AWS, Azure, and GCP , CDC , DataOps methodologies , cloud platforms/Snow-flak , data visualisation tools (e.g., Tableau, Power BI , data security and compliance standard

Job Description:

We are seeking an experienced Senior Data Architect – Snowflake to lead and design scalable, high-performance data solutions. The ideal candidate should have extensive expertise in data architecture, large-scale data migration, ETL processes, and cloud-based data warehousing. You will play a key role in designing optimized data models, ensuring efficient data integration, and implementing best practices for Snowflake and other cloud platforms.

Key Responsibilities:

• Architect, design, and implement scalable Snowflake-based data solutions.
  
• Develop data models, schema designs, and ETL pipelines to support business requirements.
  
• Lead large-scale data migration projects while ensuring performance optimization.
  
• Implement DataOps methodologies for efficient data management and automation.
  
• Work with AWS, Azure, and GCP to deploy cloud-based data architectures.
  
• Ensure data security and compliance with industry standards.
  
• Optimize CDC (Change Data Capture) processes for real-time data updates.
  
• Utilize DBT, Python, Java, or Scala to enhance data transformation and integration.
  
• Design and implement data visualisation solutions using tools like Tableau and Power BI.
  

Required Skills & Expertise:

• Strong expertise in Snowflake and cloud data warehousing concepts.
  
• Hands-on experience with ETL processes, data modelling, and schema design.
  
• Proficiency in SQL, DBT, Python, Java, or Scala for data transformation and automation.
  
• Experience in data integration and large-scale data migration solutions.
  
• Knowledge of CDC (Change Data Capture) methodologies.
  
• Familiarity with DataOps practices and modern data engineering workflows.
  
• Exposure to AWS, Azure, and GCP cloud platforms.
  
• Strong understanding of data security, governance, and compliance.
  
• Experience with data visualisation tools such as Tableau or Power BI.