Senior Data Engineer

Role:

Function:

Location:

Type:

Experience

Competitive Salary

About the Company:

An early-stage, US-based venture-backed technology company focused on creating innovative platforms for building meaningful relationships. They aim to transform how people connect by harnessing artificial intelligence, fostering community engagement, and delivering tailored content.

Rather than developing another conventional social app, they’re crafting a unique experience that resonates deeply with users, making them feel truly understood. Central to our platform is a dynamic, machine-learning-powered recommendation system, drawing inspiration from the personalised discovery engines of leading music and video platforms.

With strong financial backing from top-tier venture capital firms in India and the United States, they are well-positioned to advance our mission with innovation and impact.

Their core belief/ company philosophy:

• Great data + Good models = Great recommendations
• Good data + Great models = Average recommendations

That’s why they’re investing in data infrastructure from our inception and foundation.

Position Overview:

We are looking for a Data Engineer to help design, build, and scale the data platform and infrastructure that powers our core recommendation systems and personalisation engines. You’ll be a founding data engineer helping us lay the pipelines and infrastructure that feed our recommendation systems, onboarding flows, engagement metrics, dashboards, and ML models. You'll work hand-in-hand with our ML team to build data adapters and interfaces for model training, serving, and experimentation.

Role & Responsibilities:

• Engineer the

  data platform from scratch

  — including event capture, batch and streaming pipelines, and feature engineering
• Build and scale

  real-time

  and

  batch ETL pipelines

  from raw app events to ML-ready features from user actions and events
• Design and implement a

  feature store

  and

  embedding pipeline

  to power matchmaking, feed ranking, and personalisation
• Partner with ML engineers to deliver

  data adapters

  for model inputs, embedding generation, and training loops
• Define standards for

  data quality

  ,

  governance

  ,

  freshness

  ,

  observability

  , and security across
• Help evolve the core

  event schema and data model

  with privacy, observability, and performance in mind

Ideal Profile (must-have criteria):

You’re a systems thinker who starts with data and designs for scale. You’ve likely been at early-stage or high-scale consumer platforms — social, gaming, transactions, or media.

• Experience

  : 4-8 years in Data Engineering - building data engineering systems at scale.

• RecSys Awareness

  : Experience building or working on data pipelines/platforms RecSys, AI-ML, or content feeds in social or consumer platforms.

• Data Engineering for ML/DS

  : Has worked closely on Data Engineering with ML or Data Science teams before.

• Product Empathy

  : Understands how data impacts user experience, not just analytics.

• Tools Fluency

  : Proficient in Kafka, Spark, Flink, Airflow, dbt, Redis, BigQuery, Feast, Terraform; can pick the best tool for the job.

Nice to have:

• Familiarity with privacy-aware infrastructure (GDPR, PII, consent)
• Exposure to A/B testing platforms or online experimentation infrastructure
• Passion for building scalable data platforms and for consumer social or dating products

What we offer:

• Join a founding data team where your work is core to product experience
• Contribute to a platform that directly impacts how people form meaningful relationships
• Competitive Salary with significant ESOPs for wealth creation