Senior Migrations Specialty Architect

March 20

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $153k - $218.6k / year

⏰ Full Time

🟠 Senior

🏛️ Architect

🦅 H1B Visa Sponsor

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Snowflake

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Snowflake is a cloud-based data-warehousing company that provides an innovative platform for data storage, processing, and analytics. It enables organizations to handle large volumes of data efficiently, facilitating insights and business intelligence. Snowflake's architecture supports various data workloads, making it a versatile solution for enterprises looking to leverage their data for strategic decision-making.

Data Warehousing • Cloud • Analytics • Data Lake • Marketing Analytics

5001 - 10000 employees

Founded 2012

🏢 Enterprise

☁️ SaaS

📋 Description

• Build the future of the AI Data Cloud. Join the Snowflake team. • Snowflake Professional Services is the implementation and strategy experts for the Snowflake platform. We engage with customers at all phases of the customer journey to optimize, accelerate, and achieve business outcomes. Our teams of Solutions Architects demonstrate technical leadership everyday by writing code, constructing solution architectures, and guiding customers through decision paths to achieve impactful outcomes. We advise everyone from developers through senior executives on how best to utilize Snowflake to make their business successful. Our Solution Architects are comfortable with change and live on the cutting edge of technology. • In this role, you will be responsible for helping to scope and sell complex migrations from legacy systems to the Snowflake platform. You will collaborate closely with customers and system integrators to understand their enterprise data architecture, determine migration strategy, and assist the primary Professional Services sellers to effectively sell migration engagements. Additionally, you will work with a diverse range of teams both inside and outside the company including Alliances, Product and Engineering. • Design comprehensive migration plans and solutions tailored to the customer's needs and architecture, ensuring a seamless transition to Snowflake • Partner with our customers, acting as the technical expert for all aspects of Snowflake during implementation • Deploy Snowflake following best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own • Maintain deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them • Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments • Create presentations and document learnings from the project. Develop utilities and accelerators to streamline migration and related activities • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

🎯 Requirements

• 10 years of experience as a solutions architect, data architect, database administrator, or data engineer • 3 years of technical consulting experience including requirements gathering, workshop scoping, and writing statements of work. • 2 years of Snowflake experience • Experience migrating full end-to-end data warehouse architectures from one architecture to another, holistically addressing the unique challenges. • Hands-on experience working with multiple data warehouse systems including or similar to Snowflake, BigQuery, Teradata, Redshift, Netezza, SAP HANA, Greenplum, Exadata, etc. • End-to-end experience migrating on prem data warehouse solutions to the cloud (AWS, Azure, GCP) • Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos • Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools • Extensive hands-on expertise with SQL and SQL analytics and scripting languages like Python, Bash, Shell etc. • University degree in computer science, engineering, mathematics or related fields, or equivalent experience