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Specialized Snowflake architect skillset and seniority reduce applicant density, but multiple amplifiers present.
Snowflake platform skills are transferable, but manufacturing domain experience raises specificity.
Mandatory SnowPro certification and explicit 10-14 years plus domain-specific skills enforce strict filters.
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Design and implement scalable Snowflake Data Warehouse and Data Lakehouse architectures tailored for manufacturing analytics and related domains.
Architect and optimize ELT/ETL pipelines and Snowflake performance including query tuning, clustering, caching, warehousing strategy, and cost optimization.
Lead integration of Snowflake with manufacturing systems (Oracle ERP, CRM, IoT platforms) and enforce data security, governance, compliance, and CI/CD practices.
10-14 years of relevant work experience in data architecture with Snowflake and manufacturing domain exposure.
Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field.
Must possess SnowPro Core certification; SnowPro Advanced Architect certification preferred.
Hands-on expertise in Snowflake architecture components and proficiency in SQL performance tuning; familiarity with cloud platforms AWS/Azure/GCP is desirable but not mandatory.
Proven ability to architect end-to-end data solutions for manufacturing including supply chain, production planning, and quality management analytics.
Experienced in mentoring and providing technical leadership to junior engineers in complex data engineering environments.
Comfortable working closely with business stakeholders, architects, analysts, and data engineering teams in agile settings with a focus on optimizing manufacturing KPIs and IoT data processing.