Senior Data Architect

2 weeks ago

Alleppey, Kerala, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Title: Senior Data Architect

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About the Role:

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As a senior data architect, you will be responsible for designing and building scalable data architectures to support business growth. Your focus will be on extracting every drop of value from powerful marketing platforms.

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The Mission:

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Your mission is to uncover hidden 90% of tool capabilities, from granular auction insights to ephemeral algorithm data. You will work closely with cross-functional teams to ensure that data-driven decision making is at the forefront of our strategy.

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Key Responsibilities:

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  • Data Architecture: Design and build scalable data architectures to support business growth
  • Marketing Data Integration: Extract attribution data, auction signals, and algorithmic behavior from marketing platforms
  • Advanced Analytics: Develop real-time monitoring datasets to detect anomalies, pacing issues, and creative decay
  • Competitive Intelligence: Build datasets to track competitor strategies and market trends
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Business Scaling & Optimization Datasets:

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  • Spend and Performance: Build granular spend and performance datasets with dayparting, marginal ROAS, and cost efficiency metrics
  • Auction Intelligence: Develop lookalike audience models enriched with seed performance, overlap scores, and fatigue indicators
  • Optimization: Create datasets for portfolio performance, campaign cannibalization, and creative lifecycle decay
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Advanced Feature & AI Data Engineering:

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  • Structured Data: Extract structured data from advanced features like predictive analytics, customer match, and A/B testing tools
  • Machine Learning Signals: Build multimodal datasets (ad copy, landing pages, video) ready for machine learning workflows
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Unified Customer & Attribution Data:

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  • Customer Journeys: Map cross-device customer journeys with detailed attribution paths and timestamp precision
  • Identity Resolution: Engineer identity resolution pipelines using hashed emails, device IDs, and privacy-safe matching
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Requirements:

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  • Technical Skills: Strong expertise in data architecture, cloud computing, big data processing, and SQL
  • Communication Skills: Excellent communication skills to explain technical decisions clearly
  • Collaboration Skills: Ability to work collaboratively with cross-functional teams
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Benefits:

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  • Professional Growth: Opportunities for professional growth and development
  • Remote Work: Flexible remote work arrangements
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