Staff Engineer - Backend (Data Quality)

Posted 4 Days Ago
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Remote
Senior level
Big Data • Software • Analytics
The Role
As a Staff Engineer, you will lead the development of Atlan's Data Quality module. Responsibilities include architecting and implementing backend systems, optimizing user experience, mentoring junior engineers, enhancing the developer experience, and driving innovation within the backend team while collaborating with cross-functional teams.
Summary Generated by Built In

We are seeking a highly experienced Staff Engineer to join our team and lead the development for Atlan’s Data Quality module. This is a 0-1 initiative that will play a critical role in enhancing data quality and data contracts within our platform. An ideal candidate will bring prior experience with solution architecture along with building Data SaaS products/ platforms.

What will you do? 🤔

  • Architect, design, and implement backend systems for the new Data Quality module, focusing on data quality and data contracts (ODCS).
  • Develop and standardize frameworks for integrating Atlan connectors with Data Quality tools (e.g., Soda, Monte Carlo, Anomalo, etc) to ensure seamless data integration and metadata synchronization.
  • Enhance the developer experience by improving tools, libraries, and processes for internal and external engineers.
  • Optimize backend systems to improve user experience for customers, ensuring the system is reliable, scalable, and user-friendly.
  • Mentor junior engineers, providing guidance on best practices and helping them grow technically.
  • Maintain high standards of code quality through reviews, testing, and continuous integration.
  • Work closely with cross-functional teams to deliver features and enhancements that align with the product roadmap.
  • Drive innovation within the backend team by staying updated with the latest technologies and industry trends.

What makes you a great match for us? 😍

  • Proven data & Backend engineering experience, with a track record of building scalable systems and integrating with data quality and profiling tools.
  • Prior experience as a customer-facing solutions architect is highly preferred.
  • Experience contributing to open-source projects is highly preferred.
  • Experience with Data Quality tools such as Soda, Monte Carlo, or Anomalo is preferred.
  • Exposure to Data Contracts (ODCS) is advantageous.
  • Hands-on experience with Java, Deequ, Spark, and Kafka.
  • Experience with search stores like Elastic, Solr, or Typesense is a plus.
  • Understanding of Data Lineage is a significant advantage.
  • Strong problem-solving skills and the ability to drive complex technical projects from inception to completion.

Working at Atlan 👨‍💻 👩‍💻

We love open-source. One of our open-source projects was trending worldwide on GitHub.

Read about our 10 engineering commandments

The why, what, and who of internships at Atlan

Engineering demos: How we share knowledge and build better engineering culture

Going from great people to greater teams: How we think about growth at Atlan


Do your life’s best work at Atlan 🚀

At Atlan, our mission is to help data teams do their life's best work. Inside Atlan, our goal is to help Atlanians do their life's best work while at Atlan and reach their Ikigai.

We'd normally invite potential Atlanians to our office to meet our team and understand our culture. But given the global pandemic, we've opened up our internal team handbook instead, which is a great read about our values and principles and how we think about growth and internal practices as we build a dream team.

Atlan Team Handbook

The Values of an Atlanian

Top Skills

Java
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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