Data Architect - Snowflake Platform

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