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Chief Data Infrastructure Strategist

2 weeks ago

Gurgaon, Haryana, India beBeeData Full time ₹ 1,00,00,000 - ₹ 2,00,00,000

We are seeking a visionary Founding Data Platform Architect to spearhead the design, development and scaling of our data platform and infrastructure. This pivotal role will have a profound impact on how people form meaningful relationships through our product.

Job Description:

As a Founding Data Platform Architect, you will be responsible for architecting the entire data platform from scratch, including event capture, batch and streaming pipelines, and feature engineering. You will also build foundational event streams that capture user interactions, design and implement a feature store and embedding pipeline to power matchmaking, feed ranking, and personalization, collaborate with ML engineers to support data adapters, model input schemas, and real-time scoring interfaces, define standards for data quality, governance, freshness, observability, and security across teams, own the strategy for tools, schemas, governance, scalability, and future-proofing as models evolve, and recruit, mentor, and lead a small team of data engineers and analysts over time.

Requirements:

  • 6-12 years of experience building scalable data systems in fast-moving environments
  • Experience supporting RecSys, ML, or content feeds in social or consumer platforms
  • Leadership skills, ability to mentor junior engineers or build small teams from scratch
  • ML awareness, worked closely with ML teams; understands feature engineering, embedding stores, retrieval systems and typical models
  • Product empathy, understands how data impacts user experience, not just analytics
  • Tools fluency, Kafka, Spark, Flink, Airflow, dbt, Redis, BigQuery, Feast, Terraform

Benefits:

You'll have the opportunity to shape our data + ML infra, hire the next engineers, and scale with us to millions of users, significant ESOPs and wealth creation with market competitive cash compensation.

Why Join Us:

This is a unique chance to be part of a company where recommendation is the product, directly impacting how people form meaningful relationships, shaping our data + ML infra, hiring the next engineers, and scaling with us to millions of users.