Snowflake

5 months ago

Senior Data Platform Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Seasoned data architecture leader responsible for designing and communicating Snowflake’s multi-cloud data platform to executives and technical teams. You’ll guide pre-sales engagements, deliver compelling demos/POCs, and collaborate with product, engineering, and marketing to shape Snowflake’s data platform strategy and customer success across enterprise data environments.

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Sr. Manager level

Key Responsibilities

•Present Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners.
•Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation.
•Stay informed on competitive and complementary technologies and vendors and position Snowflake accordingly.
•Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.
•Connect customer business problems to Snowflake solutions and perform deep discovery of customers’ architecture frameworks.

Key Requirements

•10+ years of architecture and data engineering experience within the Enterprise Data space.
•5+ years experience within a pre-sales environment (Sales Engineer, Solutions Engineer, Solutions Architect, etc…).
•Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
•Broad experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies (Data Lake, Data Mesh, Data Fabric).
•Hands on development experience with SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive and other Big Data technologies; strong data integration tooling knowledge (NiFi, Matillion, Fivetran, Qlik, Informatica).

Experience:10+ yearsEnterprise dataData platformCloud data platformData lakehouse

Education:Bachelor's

Skills:CommunicationPresentationCollaborationProblem-solving

Tech Stack:SQLPythonPandasSparkPySparkHadoopHiveApache NiFiMatillionFivetranQlikInformaticaKafkaFlinkSpark StreamingKinesisIcebergDeltaParquet

Company Brief

Snowflake

Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn

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Snowflake

5 months ago

Senior Data Platform Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Sr. Manager level

Key Responsibilities

•Present Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners.
•Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation.
•Stay informed on competitive and complementary technologies and vendors and position Snowflake accordingly.
•Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.
•Connect customer business problems to Snowflake solutions and perform deep discovery of customers’ architecture frameworks.

Key Requirements

•10+ years of architecture and data engineering experience within the Enterprise Data space.
•5+ years experience within a pre-sales environment (Sales Engineer, Solutions Engineer, Solutions Architect, etc…).
•Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
•Broad experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies (Data Lake, Data Mesh, Data Fabric).
•Hands on development experience with SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive and other Big Data technologies; strong data integration tooling knowledge (NiFi, Matillion, Fivetran, Qlik, Informatica).

Experience:10+ yearsEnterprise dataData platformCloud data platformData lakehouse

Education:Bachelor's

Skills:CommunicationPresentationCollaborationProblem-solving

Tech Stack:SQLPythonPandasSparkPySparkHadoopHiveApache NiFiMatillionFivetranQlikInformaticaKafkaFlinkSpark StreamingKinesisIcebergDeltaParquet

Company Brief

Snowflake

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn