Senior Manager, Data Platform

Responsibilities 

• Lead and grow a mixed group of high-performing data engineers and analytics engineers. 

• Build a strong technical and operational strategy and the roadmap for evolving Deel’s Data Platform as a whole.

• Lead by example on technical matters and drive appropriate decisions at technical level

• Mentor, coach and grow your team members, also into leadership positions if the opportunity arises

• Set a vision for our long-term data modeling architecture, driving efficiency, consistency, reusability empowering data team members and all employees using data in their day-to-day  

• Manage ELT lifecycle: introducing, backfilling, evolving, and deprecating data sources, always aiming to get closer to real-time. We built our framework in-house on top of Airflow and Fivetran. 

• Manage code lifecycle: from local development through production via CI (via GitHub) and Looker (via LookML), until a change is deployed in staging and eventually production environments.

• Drive data quality through monitoring and observability tooling. Creating strong relationships with upstream data creators like software engineering and sales ops. 

• Manage and improve our CI/CD pipeline and processes 

• Manage performance and cost-efficiency of our data cloud platform. We use Snowflake.

Requirements:

• 10+ years of experience in data engineering roles, of which at least 4 in a management role 

• You love working with teams, empowering talented people to deliver their best work and to develop their careers

• Multiple years experience working on cloud data architecture (preferably snowflake) 

• You are an excellent communicator able to explain complex technical topics with clarity over a wide range of audiences.

• You have a good understanding of Data Architecture and Engineering principles and practices 

• Our stack is built with Python and SQL. Fluency in both is expected.