Jobright.ai
Senior Platform Architect
Jobright.ai - Menlo Park, California, United States, 94029
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Senior Platform Architect
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Senior Platform Architect
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Jobright.ai Snowflake is a rapidly growing company focused on data management solutions. They are seeking an experienced Enterprise Data Architect to guide enterprise customers in architecting scalable data solutions, leveraging Snowflake in conjunction with Azure and Databricks, while providing thought leadership on cloud data management and analytics. Responsibilities: • Engage with enterprise customers to architect scalable, high-performance, and cost-efficient data solutions leveraging Snowflake in conjunction with Azure and Databricks. • Design and optimize data architectures based on Lakehouse principles, guiding customers on best practices for data ingestion, transformation, and analytics. • Lead technical discussions and deliver compelling presentations, demonstrations, and proofs-of-concept (POCs) showcasing Snowflake’s value proposition. • Collaborate with internal teams (Sales, Product, and Engineering) to align solutions with customer needs and Snowflake’s roadmap. • Advocate for Snowflake’s ecosystem by articulating integration patterns with Azure services (e.g., ADLS, Synapse, Fabric) and Databricks. • Stay ahead of industry trends and provide thought leadership on cloud data management, data engineering, and AI/ML enablement. • Educate and enable customers on migration strategies from legacy data warehouses, on-prem solutions, and competing cloud platforms to Snowflake. Qualifications: Required: • 10+ years of experience in data architecture, data engineering, or solution architecture roles. • Strong hands-on experience with Databricks, including Unity Catalog, Delta Lake, Spark, and MLflow. • Proven track record in designing and implementing Lakehouse architectures for large-scale enterprise customers. • Expertise in SQL, Python, and ETL/ELT frameworks for data transformation and analytics. • Strong understanding of data governance, security, and compliance best practices in the cloud. • Excellent communication and stakeholder management skills with the ability to translate technical concepts into business value. • Experience in customer-facing roles (pre-sales, consulting, or customer success) is a plus. Preferred: • Snowflake experience and certification (e.g., SnowPro Advanced: Architect) are highly desirable. • Familiarity with competing platforms (e.g., AWS Redshift, Google BigQuery) and hybrid/multi-cloud strategies. • Understanding of AI/ML and analytics workloads in a modern data ecosystem. • Industry experience in financial services, healthcare, retail, or other data-intensive sectors. • Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase). • Expertise in a core vertical such as Financial Services, Retail, Media & Entertainment, Healthcare, Life-Sciences etc. Company: Snowflake is a cloud data platform that provides a data warehouse as a service designed for the cloud. Founded in 2012, the company is headquartered in San Mateo, California, USA, with a team of 5001-10000 employees. The company is currently Public Company. Snowflake has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
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Senior Platform Architect
role at
Jobright.ai 1 day ago Be among the first 25 applicants Join to apply for the
Senior Platform Architect
role at
Jobright.ai Snowflake is a rapidly growing company focused on data management solutions. They are seeking an experienced Enterprise Data Architect to guide enterprise customers in architecting scalable data solutions, leveraging Snowflake in conjunction with Azure and Databricks, while providing thought leadership on cloud data management and analytics. Responsibilities: • Engage with enterprise customers to architect scalable, high-performance, and cost-efficient data solutions leveraging Snowflake in conjunction with Azure and Databricks. • Design and optimize data architectures based on Lakehouse principles, guiding customers on best practices for data ingestion, transformation, and analytics. • Lead technical discussions and deliver compelling presentations, demonstrations, and proofs-of-concept (POCs) showcasing Snowflake’s value proposition. • Collaborate with internal teams (Sales, Product, and Engineering) to align solutions with customer needs and Snowflake’s roadmap. • Advocate for Snowflake’s ecosystem by articulating integration patterns with Azure services (e.g., ADLS, Synapse, Fabric) and Databricks. • Stay ahead of industry trends and provide thought leadership on cloud data management, data engineering, and AI/ML enablement. • Educate and enable customers on migration strategies from legacy data warehouses, on-prem solutions, and competing cloud platforms to Snowflake. Qualifications: Required: • 10+ years of experience in data architecture, data engineering, or solution architecture roles. • Strong hands-on experience with Databricks, including Unity Catalog, Delta Lake, Spark, and MLflow. • Proven track record in designing and implementing Lakehouse architectures for large-scale enterprise customers. • Expertise in SQL, Python, and ETL/ELT frameworks for data transformation and analytics. • Strong understanding of data governance, security, and compliance best practices in the cloud. • Excellent communication and stakeholder management skills with the ability to translate technical concepts into business value. • Experience in customer-facing roles (pre-sales, consulting, or customer success) is a plus. Preferred: • Snowflake experience and certification (e.g., SnowPro Advanced: Architect) are highly desirable. • Familiarity with competing platforms (e.g., AWS Redshift, Google BigQuery) and hybrid/multi-cloud strategies. • Understanding of AI/ML and analytics workloads in a modern data ecosystem. • Industry experience in financial services, healthcare, retail, or other data-intensive sectors. • Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase). • Expertise in a core vertical such as Financial Services, Retail, Media & Entertainment, Healthcare, Life-Sciences etc. Company: Snowflake is a cloud data platform that provides a data warehouse as a service designed for the cloud. Founded in 2012, the company is headquartered in San Mateo, California, USA, with a team of 5001-10000 employees. The company is currently Public Company. Snowflake has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Platform Architect” roles.
Menlo Park, CA $93,000.00-$151,000.00 2 weeks ago Santa Clara, CA $148,000.00-$287,500.00 3 days ago Senior Architect, AI Solutions Engineering
Global Practice Architect, Workspace, Google Cloud
Sunnyvale, CA $168,000.00-$249,000.00 5 days ago Principal Platform Architect, Agentic AI
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Santa Clara, CA $148,000.00-$287,500.00 16 hours ago Sunnyvale, CA $168,000.00-$249,000.00 2 weeks ago Principal Architect – Cloud & Data Modernization
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Santa Clara, CA $272,000.00-$425,500.00 3 days ago Santa Clara, CA $199,000.00-$299,000.00 2 days ago Santa Clara, CA $184,000.00-$356,500.00 1 day ago Sunnyvale, CA $186,000.00-$261,000.00 2 weeks ago Stanford, CA $118,580.00-$179,801.00 1 week ago Sunnyvale, CA $180,000.00-$240,000.00 2 days ago Solutions Architect - Cloud Providers and Hyperscale
Solution Architect, Healthcare Integrations
Senior Solutions Architect, Global Partner Team
Redwood City, CA $180,000.00-$230,000.00 2 weeks ago Palo Alto, CA $219,400.00-$307,400.00 3 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr