Snowflake Architect

Job Title: Snowflake Architect Remember to check your CV before applying Also, ensure you read through all the requirements related to this role. Location: Dublin , CA Experience: 10+ Years Industry Preference: Retail / E-commerce Employment Type: Full-time Job OverviewWe are looking for an experienced Snowflake Architect with strong consulting experience and retail domain exposure to design and implement scalable cloud data platforms. The ideal candidate will lead architecture, data modernization, and migration initiatives using Snowflake and modern data engineering technologiesKey ResponsibilitiesDesign and implement enterprise-scale data architectures using Snowflake on cloud platforms (AWS / Azure / GCP). Lead data warehouse modernization and migration programs from legacy platforms to Snowflake. Define data modeling standards, architecture frameworks, and best practicesWork closely with business stakeholders, consulting teams, and engineering teams to translate business requirements into technical solutions. Architect data ingestion, transformation, and orchestration pipelinesOptimize Snowflake performance, cost, and scalabilityProvide technical leadership and architectural governance across multiple data initiatives. Support client engagements, solution design, and technical proposals in consulting environments. Mentor data engineers and provide technical guidance on Snowflake implementations. xywuqvp Required SkillsStrong experience in Snowflake architecture and implementationHands-on experience with cloud platforms (AWS / Azure / GCP)Expertise in data warehousing, dimensional modeling, and data lake architecturesExperience designing ETL / ELT pipelinesStrong SQL and performance optimization skills Experience with data integration tools (dbt, Airflow, Informatica, Matillion, etc.)Knowledge of data governance, security, and data quality frameworksStrong experience in client-facing consulting rolesPreferred QualificationsExperience working with Retail / E-commerce data platformsExperience with modern data stack (Snowflake, dbt, Airflow, Spark, Databricks)Exposure to real-time data pipelines and streaming architecturesExperience in large-scale data migration programsEducationBachelor's or Master's degree in Computer Science, Engineering, or related field