Chief Data Infrastructure Architect

1 day ago

Kolkata, West Bengal, India beBeeDataEngineer Full time ₹ 18,00,000 - ₹ 25,00,000
Key Responsibilities

The Conqueror will spearhead the creation of cutting-edge data infrastructure, empowering real business growth through astute analytics and intelligent automation.

Primary duties include:

  • Designing and implementing scalable, semantic-layered datasets in Snowflake with historical tracking and versioning
  • Crafting pristine, high-resolution datasets that fuel advanced analytics and machine learning across the business
  • Reverse-engineering APIs to extract hidden attribution data, auction signals, and algorithmic behavior
  • Exploiting beta features and undocumented endpoints to unlock advanced data streams
  • Building real-time monitoring datasets to detect anomalies, pacing issues, and creative decay
  • Extracting machine learning signals from Meta Advantage+, Smart Bidding configs, and TikTok optimization logs
Required Skills & Qualifications
  • 3+ years as a Data Engineer with deep experience in MarTech or growth/performance marketing
  • Advanced Python for API extraction, automation, and orchestration
  • JavaScript proficiency for tracking and GTM customization
  • Expert-level experience with GA4 implementation and data handling
  • Hands-on experience with Snowflake, including performance tuning and scaling
  • Comfortable working with S3 and data lakes for semi/unstructured data
  • Strong SQL and understanding of scalable data models
Benefits & Opportunities
  • Shape the data infrastructure powering real business growth
  • Join a purpose-driven, fast-moving team
  • Work with fast-scaling e-commerce brands
  • Personal development budget to continuously sharpen your skills
  • Work remotely from anywhere
What Makes You A Great Fit?
  • 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
  • Great communicator: You explain technical decisions clearly, with just enough detail for analysts, marketers, and fellow engineers to move forward
  • Product-minded: You think in terms of impact, not just pipelines. Every dataset you build is a stepping stone to better strategy, smarter automation, or faster growth

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