Learning Solution Architect

DataCamp Inc.
New York, NY, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$130,000.0 - $190,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Python (Programming Language) Power BI SQL Databases Tableau (Software) Snowflake Databricks

Job description

The Learning Solutions Architect is a customer-facing technical trainer who helps organizations build data and AI capabilities with DataCamp. You’ll deliver engaging live training (virtual and onsite) and create tailored learning materials on the DataCamp platform-think custom courses, projects, certifications and assessments that map to each customer’s roles, tools, and outcomes.

You’ll partner with Customer Success, Sales, Product and Content to scope blended learning paths, teach high-impact sessions, and publish reusable, high-quality content that accelerates adoption and measurable skill uplift for some of our most high-value customers.

Requirements

  • Loves to teach. Comfortable spending multiple hours weekly in front of a virtual or onsite classroom.
  • 2+ years in technical training, data science/analytics education, solutions engineering, or similar instructor roles.
  • Broad technical range across AI, Python/SQL/R and Power BI/Tableau; familiarity with Databricks/Snowflake is a plus.
  • Learns new tools quickly; enjoys tailoring content to different personas (analyst, engineer, business user, exec).
  • Strong communicator who can simplify complex topics for technical and non-technical audiences.
  • Detail-oriented and process-driven; delivers sessions and materials with substance.
  • Flexible schedule to support time zones (this is not a 9 to 5); occasional travel for onsite delivery.

Some of your key metrics will be:

  • Customer satisfaction: survey, engagement, repeat bookings
  • Professional services revenue (with a success based component of your salary tied to this)

Benefits & conditions

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:

  • Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.
  • Competitive compensation: We offer a competitive salary with attractive benefits.
  • Flexibility: Benefit from flexible working hours because the future is flexible!
  • Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.
  • Global retreats: Participate in international company retreats, fostering a global team spirit.
  • Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.
  • Amazing team: Collaborate with a truly exceptional team-seriously, we’re awesome!

Compensation

The base salary for this position may vary based on several factors, including the approved job level. The base salary range for this role is $130,000 - $190,000 (Total OTE: $145,000 - $220,000) Salary is one component of our total compensation package. This position also qualifies for equity (i.e., stock options). The benefits available for this position include flexible time off, a 401K retirement plan + matching, insurance (medical, dental, vision, life). We also provide paid sick time as required by state and local law. Additional benefits and perks contained in our standard employee benefits package are also offered for this position.

About the company

DataCamp’s mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 20 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

Apply for this position

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Apply on job-boards.greenhouse.io
Prepare application

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