Collaborate with cross-functional teams to create and manage robust data solutions
Build scalable and efficient data pipelines
Optimize data workflows
Ensure data quality and reliability
Design and oversee the implementation of a robust Medallion Architecture
Own the development and governance of the Semantic Layer
Lead the transition from flat tables to sophisticated Star and Snowflake schemas
Build and maintain scalable pipelines for identity resolution
Partner with Decision Scientists to engineer specialized data structures for advanced attribution
Establish and enforce strict Data Contracts between upstream producers and downstream consumers
Drive engineering best practices by implementing rigorous CI/CD workflows for data pipelines
Collaborate with Product Managers and Engineering leaders to translate complex business requirements into scalable technical architectures.

8+ years of experience as a Data Engineer or in a similar role
A related technical degree required
Proficiency in data engineering tools and languages, such as Python, SQL, and Spark
Strong understanding of database concepts, data modeling, and ETL processes with tools like Airflow, dbt, Informatica, etc.
Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud)
Familiarity with data warehousing, SQL, NoSQL databases, and data integration techniques
Experience with the Salesforce Ecosystem, specifically Data Cloud
Problem-solving skills to troubleshoot and resolve data-related issues
Excellent communication skills and ability to collaborate in a cross-functional environment.

Lead Data Engineer

Key skills