2 months ago
Base Salary
$189k - $248k/yr
Responsibilities
- Provide technical leadership in designing and architecting Snowflake’s Cloud Data Platform within enterprise data ecosystems.
- Present Snowflake technology and vision to executives, technical contributors, strategic prospects, customers, and partners.
- Demonstrate Snowflake technology and communicate its value throughout the sales cycle, from demonstrations and proofs of concept through design and implementation.
- Work with sales teams to understand customer needs, navigate sales cycles, support enterprise proofs of concept, and help close business.
- Maintain knowledge of competitive and complementary technologies and vendors and position Snowflake accordingly.
- Collaborate with Product Management, Engineering, and Marketing to improve Snowflake products and marketing.
Requirements
- 10+ years of architecture and data engineering experience in the enterprise data space.
- 5+ years of experience in a pre-sales environment, such as Sales Engineer, Solutions Engineer, or Solutions Architect.
- Strong presentation skills for technical and executive audiences, including impromptu whiteboarding, presentations, and demonstrations.
- Ability to connect customer business problems with Snowflake solutions and conduct deep discovery of customer architecture frameworks.
- Broad experience with large-scale database and data warehouse technologies, data integration, analytics, and cloud technologies.
- Hands-on development experience with SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive, and other big data technologies.
- Experience with data integration tools for building data pipelines, including Apache NiFi, Matillion, Fivetran, Qlik, or Informatica.
- Familiarity with streaming technologies such as Kafka, Flink, Spark Streaming, and Kinesis.
- Experience designing interoperable data lakehouse architectures and working with Iceberg, Delta, and Parquet.
- Bachelor’s degree required; a master’s degree in computer science, engineering, mathematics, or a related field, or equivalent experience, is preferred.
Tech Stack
Categories
Data EngineeringSolutions Engineering
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.