Customer Engineering Specialist

Posted 10 Days Ago
Be an Early Applicant
Hiring Remotely in India
Remote
Senior level
Big Data • Software • Analytics
The Role
As a Customer Engineering Specialist, you will diagnose and resolve product issues, analyze patterns, mentor new team members, and contribute to knowledge bases, ensuring a world-class support experience for customers.
Summary Generated by Built In

We are hiring a Customer Engineering Specialist within our Engineering Support group to help us continue providing world-class support experience to our customers, globally. In this role, you’ll not only be helping our customers identify product issues but also resolving them on the ground including bug fixing & code reviews.

What will you do? 🤔

  • Challenge yourself: Go beyond basic troubleshooting, diagnose & fix complex product issues using your Python/Java expertise.
  • Empower users: Analyze issue patterns, suggest improvements & uncover new use cases to shape the future of our platform.
  • Become the knowledge hub: Craft solutions, enhance processes & contribute to public knowledge articles, guiding users & your team.
  • Shape the future of data: Be a key player in revolutionizing how organizations unlock data's true potential.
  • Craft knowledge treasures: Contribute to an expansive knowledge base, empowering future data explorers.
  • Train and mentor: new team members as we scale our Customer Happiness function

What makes you a match? 😍

  • 5+ years into Technical Support at a level closest to engineering (L3 or higher) with strong Python/Java skills.
  • Technical Debugging - Code browsing (Python/Java), attaching a code debugger, Log analysis. For e.g.
  • Reverse engineer (problem statement to code snippet)
  • Run code locally and understand the flow line by line
  • Test fixes locally and commit the changes
  • Passion for empowering users: Understand their pain points & find solutions that make a real impact.
  • Solid computing fundamentals: Master operating systems (Linux), networks, storage, scripting & REST APIs.
  • Communication that shines: Clearly explain technical concepts to anyone.

  • Preferred:
  • Cloud-native tech experience (Kubernetes) & cloud platform exposure (AWS, Azure, GCP).
  • SaaS & startup environment familiarity.
  • Worked as a Software Engineer (bug-fixing and/or feature development)
  • Experience leading a technical team.

  • What you will get?
  • Collaborative Team: Work alongside talented, humble individuals dedicated to revolutionizing data team experiences globally.
  • Remote Flexibility: Enjoy the freedom to work from anywhere in the world, prioritizing work-life balance.
  • Cultural Immersion: Immerse yourself in a culture that values learning and knowledge-sharing. 

Join the Atlan revolution and unleash your potential as a Customer Engineering Specialist.

Top Skills

Java
Python
The Company
HQ: New York, NY
192 Employees
On-site Workplace
Year Founded: 2018

What We Do

Built by a data team for data teams, Atlan is the active metadata platform for the modern data stack. It stitches together metadata from various sources (Snowflake, dbt, Databricks, Looker, Tableau, Postgres, etc.) to create a unified data discovery, cataloging, lineage, and governance experience across all your data assets, from columns and queries to metrics and dashboards. Atlan facilitates a two-way movement of metadata, bringing context back into the tools and workflows that your data team uses every day — for example, in your BI tool when you wonder what a metric on the dashboard means.

A pioneer in the space, Atlan was named a Leader in Forrester Wave™️: Enterprise Data Catalogs for DataOps in 2022 and was recognized by Gartner seven times in 2021, including as a Cool Vendor in DataOps and in the inaugural Market Guide for Active Metadata Management. Today, we power pioneering data teams like WeWork, Plaid, Postman, Unilever, and Ralph Lauren. We recently raised a Series B, backed by top investors (including Insight Partners, Sequoia, and Salesforce Ventures) and founders & CEOs from the modern data stack (including Snowflake, Looker, and Stitch).

For more information, visit http://www.atlan.com/ or follow us on Twitter at AtlanHQ.

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