DataBeat Tech Stack
AdTech services and data platforms for publishers, SSPs, and DSPs
DataBeat operates in AdTech operations and revenue optimization, serving publishers and ad platforms with managed services and proprietary analytics products. The tech stack reveals a Google Cloud–first architecture (BigQuery, Dataflow, Cloud Composer, Pub/Sub) paired with Snowflake and Redshift for analytics, indicating a dual-warehouse pattern to handle both real-time data processing and historical reporting. Hiring is concentrated in engineering and data roles across six and five positions respectively, while active projects center on platform migrations and scalable pipeline work—suggesting the company is operationalizing infrastructure to reduce manual toil in ad operations and reporting.
Tech Stack 148 technologies
What DataBeat Is Building
◆Challenges
- Accurate pipeline reporting
- Delivery quality across client accounts
- Missing conversions
- Brand thought leadership
- Adtech platform migrations
- Analytics integration
- Scope creep prevention
- Scaling etl pipelines
- Data governance compliance
- Employee knowledge competitiveness
▲Active Projects
- Hackadtech
- Migrating legacy data systems to azure data lake
- Whitepapers
- Dsp/ssp migrations
- Header bidding implementations
- Custom analytics dashboard deployments
- Scalable data pipelines
- Data integration across platforms
- Industry benchmarking reports
- Campaign idea generation
Hiring Activity
Department
Seniority
Notable leadership hires: R&D Lead
