Solution Engineer, Data Cloud - Singapore - NodeFlair

NodeFlair
NodeFlair
Verified Company
Singapore

1 month ago

Wei Jie

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Wei Jie

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Description

Job Summary:


Salary
S$17,350 - S$25,150 / Monthly


Job Type

Seniority
Senior


Years of Experience
At least 7 years


Tech Stacks
Strategy Snowflake Analytics R Jupyter BigQuery RedShift Pandas Databricks Python


The SE's abilities will be a unique combination of executive-level presence combined with full-stack technical skills that ensure Data Cloud delivers value to customers integrated with sophisticated customer data architectures.

This technical talent with a rare combination of skills will drive execution excellence in support of sellers and leadership across the territory.

In-depth knowledge of modern cloud data platforms like Snowflake, GBQ, and Databricks, as well as data analytics tools like Tableau, will be instrumental in crafting solutions that integrate elegantly to drive customer success.


Your Impact

  • Arrange and conduct inperson & webbased meetings to drive the entire opportunity lifecycle from technical discovery to technical close.
  • Cocreate technical close strategy with Account Executives that aligns to customer objectives.
  • Collaborate strategically with the Sales Team across the customer base and the sales organization to prioritize and develop Industryspecific use cases grounded in consistent architectures that have proven repeatability with customers.
  • Implement programs to efficiently scale technical evaluation of Salesforce Data Cloud across the Industry/Territory.
  • Leverage profound understanding of modern cloud data platforms and data analytics tools to drive Data Cloud ACV.
  • Collaborate with Salesforce product teams to deeply understand Salesforce solutions and roadmap, and advocate for key features needed for success across the Industry/Territory via Voice of the Customer feedback.
  • Develop scalable, deployable, reusable, and relevant field enablement technical assets that drive differentiated business outcomes in order to accelerate adoption across customers, partners, and sales teams.
  • Partner with Product Marketing to advise on messaging and sales plays across all of Salesforce.
  • Deliver the overall Salesforce pointofview for data strategy aligned to industryspecific use cases.
  • Gifted storyteller able to engage diverse audiences from Clevel executives to data architects.
  • Delight customers at Salesforce events including Dreamforce, Tableau Conference, and Salesforce World Tours.
  • Have a passion for operational excellence that drives scalable ACV growth and customer success.

Qualifications
You have demonstrated consistently increasing levels of responsibility and spheres of influence that include:

  • Experience in customer-facing solutioning for Data, Analytics, AI and CRM.
  • Fullstack technical qualifications (CRM, Data Architecture, AI/ML) combined with experience owning technical relationships with C-Level executives.
  • Experience integrating complex data architectures to drive business value for customers.
  • Handson expertise in modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks).
  • Deep technical knowledge of the Salesforce platform (Salesforce Admin and Advanced Admin level).
  • Skilled at guiding impactful discovery conversations to unveil nuanced client needs and objectives.
  • Experience driving customer success in large, complex selling organizations.
  • Consistent recognition/awards for sales and customer success.
  • Knowledge of industryspecific use cases, data architectures, and integration patterns.
  • Persuasive verbal, written, presentation and interpersonal communication skills that inspire change in large organizations.

Technical Abilities
As a deep domain expert, you will have a rare set of technical proficiencies, including:

  • Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), data modeling
  • AI: Python/R, data wrangling, machine learning
  • Salesforce Adminlevel certification(s), handson experience with Salesforce Cloud(s)
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