Frontend-Leaning Engineer, Stemma

Salary not provided

CSS

TypeScript

Redux

HTML

Postgres

Flow

Snowflake

BigQuery

Mid and Senior level

Remote from Canada, Europe, UK, US

More information about location

Data cataloguing service

Job no longer available

Data cataloguing service

1-20 employees

B2BArtificial IntelligenceBig dataBusiness IntelligenceSaaSData Analysis

Job no longer available

Salary not provided

CSS

TypeScript

Redux

HTML

Postgres

Flow

Snowflake

BigQuery

Mid and Senior level

Remote from Canada, Europe, UK, US

More information about location

1-20 employees

B2BArtificial IntelligenceBig dataBusiness IntelligenceSaaSData Analysis

Company mission

To make data within organizations more accessible.

Job

Company

Role

Who you are

You're excited to build product from the ground up, knowing it's quite probable that half of our work will become incredibly important parts of the product years down the line, and half will be unceremoniously thrown away as we learn more about our users
You want to work on a highly-collaborative team, but are also excited to have a great deal of your workload be self-defined
You have deep experience in building modern SPAs: structuring components, managing complex state (Redux/mobx/hook), modern JS (TypeScript, Flow, or ES8), build systems (webpack/etc)
You're experienced in the presentation layer (modern HTML/CSS) and excited to build pixel-perfect interfaces
You're comfortable making small back-end changes from time to time to ship features end-to-end

What the job involves

Automated discovery and data control. Historical data discovery systems relied on humans manually writing descriptions. We've seen dozens of companies try and zero are happy with the state of things
We automate this by integrating a wide breadth of data sources suggesting who uses the data, how it's used, and how it's been transformed
Deep integrations with data systems. Many data systems in this space cater to the lowest common denominator, and obscure the incredibly powerful new data systems of the last few years
We deeply integrate with data systems to expose their awesomeness (e.g. Snowflake, BigQuery, Postgres, etc). These are often high data volume, and strong architecture patterns are required
Delightful experience. The thesis of our product is that users will want to use it, not that they'll be forced to use it by IT teams. Building an interface that's sophisticated for power users but approachable for occasional data users is imperative

Our take

Organisations are more data-driven than ever before, and making use of this data has shifted from the realm of specialised data analysts to pretty much everyone. But the vast amount of information stored by modern companies can be almost impossible to navigate, validate or make use of, especially when data protection regulations are taken into account. Stemma is tackling the mammoth job of cataloguing and indexing this information to ensure that a company's data can be trusted by its users.

Built on top of the open-source Amundsen data indexing platform (used by Lyft), Stemma goes a step further by automatically populating the indexes with information as they are added to the catalog. The only real alternative to this has been to rely on data teams to manually enter this metadata, an expensive and almost impossible task given how much information modern businesses accumulate. This solution to data management has given Stemma strong initial traction, picking up clients like Flexport, iRobot and Tempo.

Stemma has closed a seed funding round led by Sequoia which allowed it to publically launch its product. It is focusing on increasing its talent pool and further developing its offering by increasing its integrations with new data systems such as Snowflake and BigQuery, and by making enhancements to its user interface.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (1 round)

Jun 2021

$4.8m

SEED

Total funding: $4.8m

Leadership

Mark Grover

(CEO)

Prior to co-founding Stemma was Product Manager at Lyft, an Engineer with Cloudera and a Big Data & Business Intelligence Analyst with OANDA.

Dorian Johnson

(CTO)

Was previouisly the Head of Engineering at Heap and a Software Engineer with Eduvant.

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