Solutions Engineer

phData · Remote

Company

phData

Location

Remote

Type

Full Time

Job Description

Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results.

  • 4x Snowflake Partner of the Year (2020, 2021, 2022, 2023) 
  • #1 Partner in Snowflake Advanced Certifications
  • 600+ Expert Cloud Certifications (Fivetran, dbt, Sigma Award Winners)
  • 7x Best Places to Work 
  • Inc 5000 Fastest Growing US Companies (2020-2023)

As a Solution Architect (SA) on the Solutions Engineering (SE) team, your responsibilities include:

  • Own the technical sales process from introductory meetings (net new sales) through post-sales (customer success and further customer expansion)
  • Clearly communicating phData’s Managed Services (MS), Data Engineering (DE) and Machine Learning Engineering (MLE) services to existing and potential customers 
  • Ensure overall customer success across phData offerings
  • Help establish and grow our customer relationships
  • Deliver on pre-sales proof of concepts or short paid engagements
  • Grow phData’s influence and public presence at conferences, meetups, speaking events, etc.
  • Collaborate with account executive and delivery owner on Statement of Work (SOW) deliverables
  • Attract and retain the top talent in the industry
  • Lead, motivate, inspire and mentor project team members to excel as well as participate in the hiring process for new candidates

Qualifications

  • 5+ years of previous experience architecting, building and supporting Data Platforms
  • 5+ years previous experience as a Software Engineer, Data Engineer or Data Analytics
  • 3+ years experience leading teams to complete building or migrating modern data platforms
  • Prior experience in Sales or Sales Engineering - you possess strong technical skills and business acumen with a sales mindset
  • Expertise in core data engineering technologies including Spark (Cloudera, Databricks, EMR), Snowflake and AWS data services.  
  • Deep experience in one or more ecosystem products/languages such as HBase, Spark, Azure Data Factory, Snowflake, AWS EMR, AWS Glue, AWS Redshift, Kudu, etc
  • Programming experience in Java, Scala, or other statically typed programming language is preferred
  • Ability to learn new technologies in a quickly changing field
  • Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries
  • Excellent communication skills including proven experience working with key stakeholders and customers
  • Ability to translate “big picture” business requirements and use cases into a full data engineering or machine learning solution, including ingestion of many data sources, ETL processing, data access and consumption, machine learning modeling, as well as custom analytics
  • Experience scoping activities on large scale, complex technology infrastructure projects
  • Customer relationship management including project escalations, and participating in executive steering meetings
  • Prior experience in Sales 
  • Able to travel 20-30%.  Typically 1-2 day trips as part of the sales process.

Why phData? We offer:

  • Enjoy our Remote-First Workplace and award-winning culture which prizes autonomy, creativity, and diversity
  • Competitive comp, generous vacation (4 weeks PTO + 10 paid holidays), excellent benefits (health/dental/vision) and matching 401k 
  • 2-4 week bootcamp and provide continuous learning opportunities to enhance your skills and expertise.
  • Other cool perks include paid certifications, professional development allowance and additional compensation for creating company-approved content (dashboards, blogs, videos, whitepapers, etc.)

#LI-DNI

Apply Now

Date Posted

08/02/2023

Views

10

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