Snowflake

Solutions Architect, Data Engineering & Lakehouse Lake

Texas, United States

$128,000 – $178,500Compensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries

Solutions Architect - Snowflake Professional Services

Salary: $128K - $178.5K Location Type: Remote Employment Type: FullTime

Position Overview

Join the Snowflake team where data does more. As enterprises modernize their data platforms and processes, Snowflake's Professional Services Organization provides market-leading technical capabilities and best practices for modernization. Our solutions span data migrations, validation, application development, data sharing, lakehouse implementations, and data science.

As a Solutions Architect, you will be instrumental in delivering exceptional outcomes for our customers during modernization projects, with a strong focus on modern data architectures including lakehouses and streaming data. You will engage with customers to migrate from legacy data platforms (e.g., Cloudera) and build modern data pipelines and lakehouse solutions on Snowflake, acting as the technical lead and expert. Additionally, you will collaborate with the internal team to provide requirements for our Snowconvert utility, ensuring continuous improvement based on project experiences.

This role reports to the Director of the Specialized Workload Solutions team within the PS&T organization at Snowflake.

Key Responsibilities

Delivery

  • Be well-versed in migrations of applications, code, and data onto cloud platforms.
  • Lead the design of subsequent services onto Snowflake, including lakehouse architectures using Iceberg.
  • Outline the architecture of Spark, Scala, and Cloudera environments.
  • Guide customers on architecting and building data engineering pipelines on Snowflake, including streaming data ingestion and processing.
  • Design and implement data ingestion and transformation pipelines using Apache NiFi.
  • Architect and implement Iceberg-based lakehouse solutions on Snowflake.
  • Run workshops and design sessions with stakeholders and customers.
  • Troubleshoot migration and implementation issues.
  • Create repeatable processes and documentation resulting from customer engagements.
  • Utilize scripting with Python and shell scripts for ETL workflows.
  • Develop best practices, including knowledge transfer to enable customers to extend Snowflake capabilities independently.
  • Provide guidance on resolving customer-specific technical challenges.
  • Outline a testing strategy and plan.
  • Optimize Snowflake for performance and cost.
  • Design and implement solutions for streaming data ingestion and processing.

Product Strategy

  • Communicate requirements for capabilities on Snowpark conversion for Scala/Python and Spark-based backend software modules.
  • Communicate requirements for the design and development of backend big data frameworks for enhancements to our Snowpark platform.
  • Provide input and develop frameworks for Distributed Computing, Apache Spark, PySpark, Python, HBase, Kafka, REST-based API, and Machine Learning as part of our tools development (Snowconvert) and overall modernization processes.
  • Provide input on Snowflake's Lakehouse capabilities and integration with Iceberg.

Ideal Solutions Architect Profile

  • Bachelor's degree in a technical discipline or equivalent practical experience.
  • 6+ years of experience in a customer-facing technical role dealing with complex, technical implementation projects.
  • Proven track record of delivering results with multi-party, multi-year digital transformation engagements.
  • Experience in Data Warehousing, Business Intelligence, application modernization, lakehouse implementations, or Cloud projects.
  • Experience building real-time and batch data pipelines using Apache Spark and Apache NiFi.

Skills

Data Engineering
Lakehouse
Snowflake
Data Migrations
Data Pipelines
Spark
Scala
Iceberg
Cloud Platforms
Application Development
Streaming Data

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.

Land your dream remote job 3x faster with AI