At Domestika we are looking for a Director Data Engineering- Remote.

Domestika is the fastest-growing creative community where the best creative experts share their knowledge and skills through professionally produced online courses.

It all started as an online forum and a small but dynamic showcase of creative professionals, designed to help them connect and learn from each other.

Inspired by their thriving community, Domestika widened its reach by producing online courses for anyone interested in unleashing their creative potential and connecting with like-minded creatives from around the world.

Domestika carefully curates the teacher roster and produces all the courses in-house, to ensure a high-quality online learning experience for everyone. Today, the online community is home to over 8 million people from around the world who are curious and passionate about learning new creative skills.


Functions

• Lead Domestika's data engineering teamBuild the long term vision of Domestika's data infrastructure
• Lead the architectural design and implementation of our growing data platform, covering all development life cycles
• Implement and monitor best in class security measures in our data warehouse and analytics environment.
• Orchestrate, design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Design, implement and maintain robust data pipelines to support our reporting needs.
• Work with Product, Data and Marketing teams to assist with data-related technical issues and support their data infrastructure needs.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Mentor less experienced team members on their day-to-day responsibilities.


Requeriments

• Minimum 6+ years of experience in a data engineering.
• 2+ years of experience leading a data engineering team.
• Proven record of architecting large scale, highly-available, fully monitored Big Data data infrastructures.
• Experience working on AWS with technologies such as S3, Redshift, Spectrum, Athena, DataLake Formation, Glue, EMR, etc.
• Working experience with Spark with Python or Scala as well as workflow management tools like Airflow, Luigi, etc.
• Advanced working SQL knowledge and query optimization.
• Strong analytic skills and experience working with unstructured datasets.
• Experience in building processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from disconnected datasets.
• Working knowledge of message queuing, stream processing and data stores.A professional level of written and spoken English is a must.

What do we offer?

- Working in one of the leading companies in the creative industry.

- A fun, creative, collaborative, and multicultural team.

- Domestika pro-account to have access to all of our courses for free.

- Possibility to work remotely.

- Private health insurance.

- A salary according to your experience and profile.