Data Engineering Lead

Customer Success

Confirmed live in the last 24 hours

11-50 employees

Website

SQL-based data modeling and real-time metrics dashboard

Company Overview

Rill Data stands out as a leading company in the data analysis sector due to its comprehensive, SQL-based data modeler, real-time database, and metrics dashboard, which together provide a swift and efficient route from data lake to dashboard. The company's culture is centered around efficiency and user-friendliness, as evidenced by the preference of analysts to use Rill over other platforms like Looker, due to its speed and responsiveness. Furthermore, Rill's focus on time series analysis and week over week comparisons, which constitute 90% of their analysts' work, demonstrates their commitment to identifying and understanding trends, further solidifying their competitive advantage in the industry.

Data & Analytics

Company Stage

Seed

Total Funding

$12M

Founded

2020

Headquarters

San Francisco, California

Growth & Insights

Headcount

6 month growth

↓ -3%

1 year growth

↑ 38%

2 year growth

↑ 107%

Locations

Remote

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Apache Hive

Apache Spark

BigQuery

Apache Kafka

Airflow

Redshift

Scala

Snowflake

SQL

Apache Beam

Apache Flink

Python

CategoriesNew

Data & Analytics

Software Engineering

Requirements

An ideal candidate will have hands-on experience in designing, developing, and managing enterprise level database systems with complex interdependencies and key focus on high-availability, cloud migration, security, performance, and scalability
Strong candidates have experience in adtech, e-commerce, marketplaces, or other environments with high volume and high velocity data
Knowledge of database fundamentals and fluency in advanced SQL, including concepts like windowing functions
Deep experience building pipelines with tools like Apache Flink, Apache Beam, Apache Spark, DBT & Airflow with languages like Python and Scala
Experience working with large-scale, distributed warehouses such as Snowflake, BigQuery, Redshift, or HIVE
Familiarity with messaging systems such as Apache Kafka, Apache Pulsar

Responsibilities

Architect and implement the data infrastructure for both customer implementations and internal data initiatives
Build and scale a best-in-class data engineering team
Lead services engagements and drive implementations to deliver & maintain robust customer data pipelines
Understand raw data sets and model into customer-friendly dimensions and KPIs
Build repeatable processes and offerings based on client implementation patterns
Serve as a liaison to our engineering and product teams on customer requests and user experience
Act as another layer of support for our customers by triaging and helping support our customers, as needed

Rill Data is tackling some of the most difficult challenges facing data engineers in high volume, high complexity use cases. Our data team uses the latest in open source technologies (including our own). As our Data Engineering Lead, you will have a direct impact on Rill, your customers, and the future of data modeling.

Where You Fit In

We’re seeking a hands-on, experienced Data Engineering lead who can drive the implementation of our metrics offering with our customers. As a technical leader in our commercial organization, you would manage a team of data engineers working on customer projects. In addition, you would be expected to synthesize your direct experiences with customer use cases to inform our product direction.

Why Rill

Solve real problems: Data engineers, analysts and business stakeholders need tools to transform and collaborate on data in real-time. Rill solves this challenge with effortless data transformation and radically simple metrics dashboards - stream to KPI in minutes.
Build on considerable traction: Even as an early-stage company, Rill already has multi-million ARR, investor backing, and excellent customer retention.
Join an inclusive culture: You’ll join a team that is open, works smart, and has fun -- with ample space to make your mark.

What you will do

Architect and implement the data infrastructure for both customer implementations and internal data initiatives
Build and scale a best-in-class data engineering team
Lead services engagements and drive implementations to deliver & maintain robust customer data pipelines
Understand raw data sets and model into customer-friendly dimensions and KPIs
Build repeatable processes and offerings based on client implementation patterns
Serve as a liaison to our engineering and product teams on customer requests and user experience
Act as another layer of support for our customers by triaging and helping support our customers, as needed

What you need

An ideal candidate will have hands-on experience in designing, developing, and managing enterprise level database systems with complex interdependencies and key focus on high-availability, cloud migration, security, performance, and scalability
Strong candidates have experience in adtech, e-commerce, marketplaces, or other environments with high volume and high velocity data
Knowledge of database fundamentals and fluency in advanced SQL, including concepts like windowing functions
Deep experience building pipelines with tools like Apache Flink, Apache Beam, Apache Spark, DBT & Airflow with languages like Python and Scala
Experience working with large-scale, distributed warehouses such as Snowflake, BigQuery, Redshift, or HIVE
Familiarity with messaging systems such as Apache Kafka, Apache Pulsar

If you’re interested in this role, please send us a note at [email protected].

We believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products thatimprove the way people live and communicate. We are proud to be an equal opportunity employer, and committed to providingemployment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability,medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth andbreastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicablefederal, state, and local laws. If you have a disability or special need that requires accommodation, please let us know.