Customer Engineer

Datafold

San Francisco, CA, US / Remote
  • Job Type: Full-Time
  • Function: Technical/Customer Support
  • Post Date: 05/05/2021
  • Website: www.datafold.com
  • Company Address:

About Datafold

Datafold automates testing and monitoring of analytical data. Datafold protects businesses from costly data quality incidents and helps data engineers and analysts move faster and with higher confidence by automating common tasks in ETL and BI workflows.

Job Description

Datafold is a data observability platform that helps Data teams move faster and with higher confidence by automating data quality analysis, monitoring, and common repetitive tasks in data engineering workflow. It’s a category-defining product in a rapidly growing data domain.
 
As businesses increasingly rely on Analytics and Machine Learning, Data teams are facing unprecedented complexity of data and infrastructure. Lack of visibility into data quality and performance of data pipelines causes massive inefficiencies and costly business mistakes. You can read more about our vision and our view of the data ecosystem in our blog.
 
If you are not very familiar with the data domain, the nature of our product is similar to APM tools such as Prometheus, Datadog and New Relic: we collect and integrate metadata about our customers data infrastructure, pipelines and datasets and provide valuable insights.
 
Our product has been rapidly evolving and is already regularly used by over 100 data professionals from companies including Patreon and Thumbtack.
 
Stack
 
Our current stack includes Python, Flask, Celery & PostgreSQL in the backend. We use graph database Neo4j for storing highly-connected data. The front end is implemented in TypeScript and React/Redux. By the nature of our product, we have to deal with a wide range of engineering problems ranging from time-series machine learning for metric monitoring and alerting, to source code parsing for data lineage (dependency tracking) to anomaly detection on graph data.
 
Team
 
We are a highly technical team with deep expertise in the Data domain: our founders built real-time telemetry systems and scaled some of the world’s largest data platforms at Autodesk and Lyft. Our company is backed by top-tier investors including YCombinator & NEA.
 
Now is a unique time to join our team since, on the one hand, we already have great momentum behind us –product, customers, investors, funding – but on the other hand, there is so much ahead and so many opportunities for the early team members to shape our product, technical stack, and culture.
 
Since the very beginning, our team has been remote & working from multiple continents and time zones. We value strong work ethics, honesty, and a growth mindset and are looking for mature and well-organized professionals who are excited about building a new and innovative product that will redefine how organizations use data.
 
Mission
 
You will be helping our customers unlock the full potential of Datafold by integrating our solutions with their infrastructure (including data warehouses, ETL & BI tools, code repositories, etc.). You will also act as a thought partner and solutions architect to help our users improve their productivity and data quality by automating their existing workflows with Datafold.

Your responsibilities

  • Work with customers evaluating Datafold to help them successfully deploy, integrate & adopt our product in their workflows
  • Identify the blockers for customers in adopting Datafold and overcome them through building solutions, creating content, educating the users and working with our team
  • Work with existing customers to identify and build new features that meet their business needs
  • Serve as the primary, ongoing technical point of contact for our users
  • Provide thought leadership to our customers, our team and the broader Data community on the best ways for doing high-quality data engineering by creating content, leading demos, participating in discussions & conferences

Requirements

  • Data/Analytics Engineering experience
  • Fluency with SQL and at least intermediate knowledge of Python
  • Strong understanding of the modern data stack & cloud infrastructure
  • Excellent communication skills and experience working with customers
  • A user-first mindset, and an interest in talking with customers to make sure we’re building a high quality product that meets their needs

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.