Data Architect (Snowflake)

Role & Responsibilities

We are seeking an experienced Snowflake Architect with a strong technical background and solution-shaping orientation to join our team. The ideal candidate will have a deep understanding of Snowflake architecture, excellent communication skills, and the ability to analyze both technical and business requirements to design optimal solutions. As a Snowflake Architect, you will play a crucial role in selecting the right technologies, shaping solutions, and providing technical guidance to meet our clients' needs.

This is a highly hands-on role, with atleast 70% of the work focused on building, coding, and implementing solutions directly.

Responsibilities

• Oversee and advise on the implementation of the customers Snowflake platform
• Demonstrate technical leadership through personally developed code, solution architectures and implementation recommendations
• Act as a trusted advisor to customer executive leadership for thought leadership and solution approaches
• Extract business requirements from customers and translate them into a well-architected recommendation
• Develop and provide forward looking guidance and future state roadmaps
• Leverage known best practices and solutions to reduce risk to customer implementations
• Decompose future state goals into actionable execution plans
• Collaborate with Snowflake GTM and product teams to ensure customer alignment to Snowflake goals
• Work closely with frontend developers, designers, and product managers to understand requirements and deliver high-quality features.
• Lead in Developing Project requirements for end-to-end Data integration process using ETL for Structured, semi-structured and Unstructured Data.
• Make necessary on-going updates to modeling principles, processes, solutions, and best practices to ensure that the Snowflake is aligned with business needs of the environment.
  
  

Ideal Candidate

• Strong Snowflake Data Architect profile (Cloud Data Platform / AI-led Data Transformation)
• Mandatory (Experience 1) – Must have 8+ years of experience in Data Engineering / Data Architecture, with strong focus on building enterprise-scale data platforms
• Mandatory (Experience 2) – Must have 3+ years of deep hands-on experience in Snowflake architecture, including designing and implementing scalable data warehouse solutions
• Mandatory (Experience 3) – Strong expertise in Snowflake features including Resource Monitors, RBAC, Virtual Warehouses, Time Travel, Zero Copy Clone, and query performance optimization
• Mandatory (Experience 4) – Proven experience building and managing data ingestion pipelines using Snowpipe, handling structured, semi-structured (JSON, XML), and columnar data formats (Parquet)
• Mandatory (Experience 5) – Strong experience in cloud ecosystem, preferably AWS, including S3, Lambda, EC2, Redshift, and integration with Snowflake-based architectures
• Mandatory (Experience 6) – Proven experience in migrating data from on-premise or legacy systems to Snowflake, including data modeling, transformation, and validation
• Mandatory (Experience 7) – Hands-on experience in SQL, SnowSQL, Python, or PySpark for data transformation, automation, and monitoring
• Mandatory (Experience 8) – Experience in data modeling, partitioning, micro-partitions, and re-clustering strategies in Snowflake
• Mandatory (Experience 9) – Must have experience working in client-facing or consulting roles, including requirement gathering, solution design, and stakeholder communication
• Mandatory (Skill 1) – Strong understanding of end-to-end data architecture including ETL/ELT pipelines, data lakes, and warehouse integration
• Mandatory (Skill 2) – Experience in designing monitoring and automation frameworks using Python, Bash, or similar tools
• Mandatory (Skill 3) – Ability to translate business requirements into scalable technical solutions and define future-state data architecture roadmaps
• Mandatory (Note) – Only immediate joiners or candidates who can join within 15 days
• Preferred (Certification) – Snowflake Architect / SnowPro Certification
  
  

Skills: snowflake,data architecture,integration,data,modeling