Snowflake5 days ago
Principal Data Platform Architect
Salary not specified
MARKET
15,667 ₽median for this role
Data Engineer · 11 jobs with disclosed pay
10,833half of the offers: 14,166–16,81220,833
The employer didn't disclose pay — compare with the market yourself.
Полная занятостьUS-CA-Menlo Park
Responsibilities
- 01Apply your multi-cloud data architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners
- 02Work 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
- 03Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
- 04Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
Requirements
- 0110+ years of architecture and data engineering experience within the Enterprise Data space
- 025+ years experience within a pre-sales environment (Sales Engineer, Solutions Engineer, Solutions Architect, etc…)
- 03Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
- 04Ability to connect a customer’s specific business problems and Snowflake’s solutions
- 05Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture.
- 06Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric
- 07Hands on Development experience with technologies such as SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive and any other Big data technologies
- 08Deep understanding of data integration services and tools for building ETL and ELT data pipelines such as Apache NiFi, Matillion, Fivetran, Qlik, or Informatica.
- 09Familiarity with streaming technologies (ex. Kafka, Flink, Spark Streaming, Kinesis) and real-time or near real time use cases (ex. CDC)
- 10Experience designing interoperable data lakehouse architectures and experience working with Iceberg, Delta, and Parquet
- 11Strong architectural expertise in data engineering to confidently present and demo to business executives and technical audiences, and effectively handle any impromptu questions
- 12Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred
What we offer
- 01Remote work option available
- 02Location: CA- Menlo Park- Remote