Senior Data Architect

3 days ago

Kannur, Kerala, India beBeeData Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Senior Data Architect

Key Responsibilities:

Platform Integration & Monitoring

  • Reverse-engineer APIs across major marketing platforms to extract attribution data, auction signals, and algorithmic behavior.
  • Unlock advanced data streams by exploiting beta features and undocumented endpoints.
  • Build real-time monitoring datasets to detect anomalies, pacing issues, and creative decay.
  • Scrape competitor websites and dissect tracking logic to reveal platform strategies.

Business Scaling & Optimization Datasets

  • Construct granular spend and performance datasets with dayparting, marginal ROAS, and cost efficiency metrics.
  • Develop lookalike audience models enriched with seed performance, overlap scores, and fatigue indicators.
  • Create auction intelligence datasets with hour/geo/placement granularity, bid behaviors, and overlap tracking.
  • Design optimization datasets for portfolio performance, campaign cannibalization, and creative lifecycle decay.
  • Extract machine learning signals from predictive analytics tools and TikTok optimization logs.

Advanced Feature & AI Data Engineering

  • Extract structured data from multimodal datasets (ad copy, landing pages, video) ready for machine learning workflows.
  • Enrich historical marketing data using automated pipelines and AI-powered data cleaning.

Unified Customer & Attribution Data

  • Build comprehensive GA4 datasets using precise tagging logic and event architecture.
  • Unify data from Firebase, Klaviyo, Tealium, and offline sources into full-funnel CDP datasets.
  • Engineer identity resolution pipelines using hashed emails, device IDs, and privacy-safe matching.

Skills & Experience Required

  • 3+ years as a Senior Data Architect with deep experience in MarTech or growth/performance marketing.
  • Expert-level experience with Python for API extraction, automation, and orchestration.
  • JavaScript proficiency for tracking and GTM customization.
  • Strong SQL and understanding of scalable data models.

Bonus Points if You Have

  • Experience with dbt for transformation and modeling.
  • CI/CD pipelines using GitHub Actions or similar.
  • Knowledge of vector databases (e.g., Pinecone, Weaviate) for AI/ML readiness.

Requirements

  • Relentlessly curious: You don't wait for someone to show you the API docs; you find the endpoints yourself.
  • Detail-obsessed: You notice the subtle changes, the disappearing fields, the data drift others overlook.
  • Self-directed: You don't need micromanagement. Just give you the mission, and you'll reverse-engineer the map.
  • Comfortable with ambiguity: You can navigate undocumented features, partial datasets, and platform quirks without panic.

Attributes are measured based on key functionalities that guide software development for attribute-driven product engineering

This is an opportunity to leverage your skills in a dedicated role where your attention to detail will impact overall effectiveness of business processes

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