Specialist Architect - Data Engineering/ML

Texas, United States

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$134,000 – $187,400Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Cloud Computing, Data Warehousing, Big Data, SoftwareIndustries

Requirements

Candidates must have a minimum of 5 years of experience in a customer-facing technical pre-sales or post-sales role, with outstanding presentation skills for both technical and executive audiences. A thorough understanding of the complete data engineering lifecycle, experience with at least one public cloud platform (AWS, Azure, or GCP), and familiarity with Databricks/Apache Spark are essential. Hands-on scripting experience with SQL and Python, Java, or Scala, along with experience using libraries like Pandas, PyTorch, TensorFlow, or SciKit-Learn, is required. A university degree in data science, computer science, engineering, mathematics, or a related field, or equivalent experience, is also necessary. Bonus points are awarded for experience with Snowflake Snowpark, SAS, Apache Nifi, dbt, Data Science, implementing data pipelines with ETL tools, working with RDBMS data warehouses, proven enterprise software success, and vertical expertise.

Responsibilities

The Specialist Architect will act as a technical seller for new offerings, working with Professional Services sellers to position and scope complex engagements requiring deep expertise in specific technology areas. This role involves direct customer interaction to understand and scope data engineering use cases using Snowflake and its partner ecosystem. Responsibilities include developing strategies to scale technical sales knowledge, packaging sales plays, and delivering enablement. The architect will understand Snowflake data engineering features to design high-level solutions and proposals, act as a technical expert on Snowflake for data engineering workloads, and consult with customers in sales workshops using SQL, Python, Java, and/or Scala. They will also maintain a deep understanding of competitive technologies, position Snowflake effectively, provide guidance on resolving customer technical challenges, assist in writing Statements of Work, identify selling patterns, and enable Professional Services sellers with technical knowledge. Collaboration with Product Management, Engineering, and Marketing to improve Snowflake products and marketing is also a key responsibility.

Skills

Data Engineering

Cloud Architecture

Snowflake

SQL

Python

Java

Scala

Technical Sales

Solution Design

Project Scoping

Data Engineering Workloads

Partner Ecosystem

Snowflake

Data management and analytics platform

About Snowflake

Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.

Bellevue, WashingtonHeadquarters

2012Year Founded

$1,341.3MTotal Funding

IPOCompany Stage

Data & Analytics, Enterprise Software, AI & Machine LearningIndustries

5,001-10,000Employees

Benefits

We've got your back - We offer comprehensive health insurance plans, health savings accounts, robust retirement plans, and generous life and disability insurance.

A Balanced Lifestyle - All Snowflakes have access to our weekly online lunch and learns, virtual workout classes, and ergonomic work-from-home equipment. We offer on-demand mental health and wellness programs to support our employees and their families.

Your People Matter - Help offset the cost of growing your family with our fertility benefits and family planning resources. Count on our generous time-off and various leave plans for you to rest, refuel, and sustain a great work-life balance.

Global Snowflake Team - No matter where you are in the world, we will get you connected and supported with a work-from-home setup.

Treat Yourself - Personalize your Snowflake benefits by tapping into our employee discounts and pre-tax selections.

Invest In Your Future - Eligible employees enjoy new hire equity, Employee Stock Purchase Plan (ESPP), and a quarterly bonus or commission program.

Risks

Integration challenges from Datavolo acquisition may disrupt operations and customer service.

Increased competition from Mistral AI could challenge Snowflake's market position.

Convertible senior notes pricing may increase financial pressure if market conditions worsen.

Differentiation

Snowflake offers a unified platform for diverse data workloads, unlike traditional solutions.

The AI Data Cloud enables near-unlimited scale and performance for data mobilization.

Snowflake's seamless multi-cloud experience ensures efficient data operations across locations.

Upsides

Acquisition of Datavolo enhances Snowflake's open data integration capabilities.

Investment in Metaplane boosts AI-driven data quality solutions for Snowflake users.

Snowflake Ventures' investment in Hex expands accessibility of data tools to non-technical users.

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