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

Skills :

- 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

- Preferred (Certification) : Snowflake Architect / SnowPro Certification