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1 Vacancy
STRICT REQUIREMENTS READ BEFORE APPLYING
U.S. candidates only (no exceptions).
Pacific Time Zone working hours required.
Hands-on recent experience is mandatory. We are not looking for managers consultants or candidates who supervised teams.
You will be asked to complete a short live technical test (SQL Python DBT GCP) early in the process. If you cannot demonstrate your own work do not apply.
Applications without specific relevant experience in media/advertising data at scale (100TB) will be rejected.
Were looking for a seasoned Data Architect with deep expertise in big data environments to design optimize and lead data architecture across our media and advertising platforms. Youll play a critical role in enabling scalable high-performance data solutions that support advanced targeting campaign analytics and real-time audience insights.
Key Responsibilities:
Design and refine conceptual and logical data models aligned with media and advertising use cases (e.g. impression tracking audience segmentation campaign performance).
Analyze system requirements and implement end-to-end data architecture strategies to ensure performance scalability and security.
Own the development and maintenance of efficient reliable data pipelines powering real-time and batch analytics.
Continuously improve system performance through rigorous testing troubleshooting and integration of new technologies.
Collaborate with engineering data science and product teams to support dynamic reporting ad personalization and audience intelligence initiatives.
Required Experience:
10 years in data architecture and modeling with a strong foundation in relational and distributed systems.
3 years in big data environments (100TB) ideally in media advertising or marketing tech.
Familiarity with data visualization tools (e.g. Looker Tableau) to support stakeholder-facing reporting.
Required Expertise:
1- Advanced proficiency in SQL Python and Entity Relationship Diagrams (ERD).
2- Deep experience with Google Cloud Platform (GCP) - especially BigQuery GCS Cloud Functions and Cloud Composer.
3- Strong hands-on experience with DBT (Data Build Tool) for data transformation and modeling.
4- Solid understanding of data lake and warehouse principles with a focus on high-throughput large-scale environments.
5- Expertise in data mining and segmentation techniques especially in programmatic advertising or cross-channel analytics.
6- Proven ability to build and maintain data pipelines handling complex ad tech and media datasets.
Data Architect (Big Data)
7- knowledge of Modern Data Technology released in the last 23 years
Full Time