Data Architect
Confirmed live in the last 24 hours
Udemy

5,001-10,000 employees

Online course provider
Company Overview
Udemy’s mission is to create new possibilities for people and organizations everywhere by connecting them to the knowledge and skills they need to succeed in a changing world. They are building a shared knowledge repository to help people learn.
AI & Machine Learning
Education

Company Stage

Series A

Total Funding

$396.4M

Founded

2010

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

5%

1 year growth

10%

2 year growth

43%
Locations
Austin, TX, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Hive
Apache Spark
Apache Kafka
Hadoop
Java
Airflow
Scala
SQL
Python
CategoriesNew
Software Engineering
Requirements
  • 10+ years of full-time experience in data engineering, software engineering, or related disciplines
  • Broad knowledge across data engineering (e.g., ETL/ELT, data modeling), data governance (e.g., data modeling, data classification, data catalog and lineage), batch and real-time streaming data platforms (e.g., Airflow, Spark, Hadoop, Hive, Kafka, dbt), and cloud services (e.g., S3, EMR, Athena, Databricks, Sagemaker)
  • Strong understanding of distributed systems and the modern data stack
  • Prior experience leading large-scale technology migration initiatives requiring coordination across multiple technical and non-technical stakeholders
  • Solid hands-on software engineering skills and proficiency with SQL and object-oriented or functional programming languages, such as Python, Scala, Java, etc
  • Ability to drive multiple initiatives simultaneously by leveraging senior technical leaders across the business
  • Excellent technical writing and oral communication skills
Responsibilities
  • Work with software architects and other engineers to design and implement Udemy's enterprise-wide data systems, services, platforms, development environments, and tools
  • Partner with solution architects and other stakeholders to define the relationships and data flows between our learning platforms, enterprise systems, and core data platforms
  • Work with other data leaders to craft and execute on a data mesh strategy, including the development and rollout of tooling and processes to support data contracts
  • Collaborate with product and business leaders throughout the company to ensure that technology initiatives align with business needs
  • Consult with teams on core data modeling to ensure a long-term coherent vision for Udemy's data warehouse architecture
  • Define and evangelize data engineering development standards, policies, and best practices across the broader organization