Senior Data Platform Engineer

Key Skills

Apache Airflow, Apache Kafka, DevOps, Google BigQuery, Google Bigtable, Google Cloud Platform (GCP), Java Programming, Kubernetes-K8s, Machine learning techniques, Scala Programming, Spark Core, Terraform

Job Description

SoundCloud is a next-generation music entertainment company powered by an ecosystem of artists, fans, and thriving communities. As one of the world’s most influential cultural platforms, SoundCloud holds a singular market position as both a music-streaming service with the largest catalog of music, and an artist services and distribution business to help artists grow long-term, successful careers.

Currently, we are looking for a Senior Data Engineer to join our Data Platform team. 

Role description

The Data Platform team cooperates mostly with infrastructure engineering on the back-end side, taking care of all the integrations, and builds software to make the data flow from the source into the data warehouse or the system which transforms data in real-time. Data Platform Engineers in a Data Platform team at SoundCloud are experienced in designing and implementing highly scalable, distributed, real-time data pipelines and developing highly scalable and secure data services in languages like Go and Scala and Java. We also use Google Cloud Platform (DataFlow, BigTable, AI Platform, BigQuery, Kafka, Kubernetes, Spark, Airflow, Terraform).

Experience and Background: 

Must-Have Expectations

• A successful candidate has about 3+ years of experience in back-end engineering including 1-2 years of experience setting up data processing pipelines, ideally in the cloud environment (GCP). 
• Experience designing and implementing (real-time) data processing systems, facilitating technical decisions, considering technical tradeoffs. 
• You are a strong individual contributor driven by solving challenging technical problems.
• You are comfortable participating in architecture discussions, planning new and improving existing solutions.
• You are comfortable with large scale data infrastructure (PBs scale). You understand the tradeoffs that come with it.

Nice-To-Have Expectations 

• Experience with Cloud Migrations
• Experience deploying ML models in production
• Experience with DevOps tools and technologies 

At the end, let us present the benefits that we are offering to our employees:

• Interested in a gym membership, photography course or book? We have a Creativity and Wellness benefit!
• Employee Stock Ownership Plan
• Generous professional development allowance
• Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
• 16 paid weeks for all parents (birthing and non-birthing), regardless of gender, to welcome newborns, adopted and foster children
• We offer free German courses at beginning, intermediate and advanced
• Various snacks, goodies, and 2 free lunches weekly when at the office.