DataBeat Tech Stack

AdTech operations and revenue optimization platform for publishers and SSPs

Business Consulting and Services Princeton, New Jersey 201–500 employees Founded 2017 Privately Held

DataBeat operates a services and software hybrid in AdTech, combining managed services (ad operations, yield optimization, audience development) with self-serve analytics tools (dashboards, calculators, validators). The tech stack—Databricks, PySpark, Delta Lake, Spark, Python on AWS and GCP—reflects heavy data-pipeline engineering, yet active hiring splits evenly between marketing and sales (6 each) and data/engineering (4 each), suggesting a transition from pure services toward product-led motion. Pain points around ETL scaling, pipeline management, and cross-platform measurement indicate internal data infrastructure challenges that likely mirror the problems their customers face.

Tech Stack 127 technologies

Core StackDatabricks PySpark Delta Lake Apache Spark Python AWS AWS Glue AWS Lambda GitLab GitHub Actions Apache Airflow Power BI Tableau Unity Catalog MLflow BigQuery Google Analytics Fivetran Snowflake SQL Dataflow Cloud Composer Google Cloud Functions Pub/Sub Google Ad Manager Google Analytics 4 DV360 Supermetrics Stitch Domo+94 more

What DataBeat Is Building

◆Challenges

Data governance compliance
Pipeline management
Streamlining sales processes
Accurate pipeline reporting
Delivery challenges
Cost efficiency across platforms
Accurate cross-platform measurement
Reliability across platforms
Scaling etl pipelines
Lead generation optimization

▲Active Projects

Real-time and batch data solutions
Campaign optimization on publisher ad server
Ci/cd pipelines
Scalable data pipelines
Data integration across platforms
Email and linkedin outreach template development
Scalable data lakes and data warehouse layers
Manual account-based outreach
Pmp and pg campaign execution
Feature rollout and platform integration

Hiring Activity

Steady25 roles · 10 in 30d

Department

Marketing

Sales

Data

Engineering

Ops

Finance

Learning

Research

Seniority

Senior

Mid

Lead

Intern

Junior

Notable leadership hires: Training Lead

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About DataBeat

DataBeat serves publishers, SSPs, and DSPs with AdTech operations consulting and analytics software. The company offers managed services spanning campaign trafficking, site onboarding, yield optimization, and audience development, alongside self-serve products including a Competition Intelligence Dashboard, Optimization Calculator, Ads.txt Validator, CueBeat (trend detection and anomaly alerts), and an Ingestion Tool for real-time data centralization. The engineering and data stack centers on Databricks and Apache Spark for ETL, with visualization in Power BI and Tableau, and integrations to Google Ad Manager, DV360, and BigQuery. Founded in 2017 and headquartered in Princeton, New Jersey, the company operates at 201–500 employees with active hiring in India.

HeadquartersPrinceton, New Jersey

Company Size201–500 employees

Founded2017

Hiring MarketsIndia

Frequently Asked Questions

What tech stack does DataBeat use?

DataBeat uses Databricks, PySpark, Delta Lake, and Apache Spark for data processing; AWS (Glue, Lambda) and Google Cloud (BigQuery, Dataflow, Cloud Composer) for cloud infrastructure; Airflow for orchestration; Power BI and Tableau for visualization; and integrations to Google Ad Manager, DV360, and Google Analytics.

Where is DataBeat headquartered?

DataBeat is headquartered in Princeton, New Jersey. The company was founded in 2017 and currently employs 201–500 people, with active hiring in India.