About the job
StackAdapt is a premier technology firm dedicated to empowering marketers to effectively reach, engage, and convert audiences with pinpoint accuracy. Handling an astonishing 465 billion automated optimizations every second, the AI-driven StackAdapt Marketing Platform seamlessly integrates brand and performance marketing, delivering quantifiable results throughout the entire customer journey. The most innovative marketers trust StackAdapt to orchestrate impactful campaigns across programmatic advertising and various marketing channels.
Key Responsibilities:
In this pivotal role, you will oversee all aspects of operational database administration, data engineering, and data operations within our Data Lake and Enterprise Data Warehouse (Snowflake) ecosystem. Your responsibilities will include but are not limited to:
- Leading daily database administration efforts to ensure a healthy and reliable data environment.
- Collaborating closely with our Staff EDW Architect to realize new visions, crafting high-quality data artifacts that adhere to industry best practices.
- Translating business requirements into intelligent, reusable ETL solutions that evolve with our organization.
- Designing comprehensive pipelines utilizing your expertise in data models and architecture diagrams to create automated ingestion and transformation pipelines that maintain data flow on schedule.
- Conducting analysis and producing artifacts such as Source-to-Target Mapping documents.
- Building pipelines that unify data from diverse sources—be it RDBMS, APIs, JSON, or flat files—ensuring a seamless information flow.
- Defining the "Source of Truth" through tools like Python and ETL software to cleanse, integrate, and transform data into a trusted single resource for the entire organization.
- Providing daily operational support for all data pipelines by monitoring alerts, troubleshooting, and promptly resolving production issues.
- Acting as a mentor for junior and intermediate data engineers and ETL developers as the EDO team expands.

