As a Data & ML Engineering Lead, you will be responsible for managing the engineering team and overseeing the design and implementation of our data infrastructure
Job Summary
As a Data & ML Engineering Lead, you will be responsible for managing the engineering team and overseeing the design and implementation of our data infrastructure.
You will work closely with data scientists, analysts, and other stakeholders to ensure the seamless flow and integrity of data across the organization.
The role involves end-to-end platform ownership including stakeholders’ management, implementing data and ML architecture based on business goals, and managing resourcing and timelines for projects.
Matching Summary
As a Data & ML Engineering Lead, you will be responsible for managing the engineering team and overseeing the design and implementation of our data infrastructure.
Skills & Requirements
Must-have
Design ETL processes and workflows
Python, SQL, Docker, Kubernetes, Azure
Manage data infrastructure including Snowflake
Lead data governance & security systems
Orchestrate production pipeline and front-end integration
Automate repeatable routines in ML tasks
Nice-to-have
Fierce curiosity and strong analytical skills
Build trust and rapport in a team
Coach data and ML engineers
Contribute to knowledge development
Functional understanding of customer experience
Key Requirements
8+ years in data engineering
2+ years as Data Engineering Lead
Proficiency in Snowflake ecosystem
Extensive SQL databases and multiple programming languages
Experience with data quality tools like Informatica