Head of Data Engineering

Triplespeed; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Triplespeed is seeking a Head of Data Engineering in Bengaluru to own and evolve the data platform for a portfolio of viral consumer apps. The role blends architecture, hands-on engineering, and team leadership across event tracking, data pipelines, and revenue analytics.

You will unify revenue streams, enable reliable pLTV signals, and drive data quality, privacy, and cost controls while mentoring a growing data team. Join a fast-growing bootstrapped company scaling multiple apps.

Qualifications

• 8+ years in data engineering with leadership experience.
• Production data pipelines (Airflow, dbt, Spark) at consumer scale.
• Data behind LTV, retention analytics for a consumer app.
• Strong Python and SQL, cloud infra (GCP/AWS).
• Experience with subscription revenue data and related edge cases.

Responsibilities

• Own the data platform end to end across our portfolio of consumer apps, and set its architecture and roadmap.
• Own event tracking and instrumentation across iOS, Android, web and backend.
• Build and run batch and streaming pipelines into a modern warehouse or lakehouse (BigQuery, Snowflake or Redshift with dbt and Airflow/Dagster).
• Unify revenue and subscription data from App Store, Google Play, Stripe and subscription platforms.
• Own attribution and ad-platform data integrations (MMPs, SKAN, conversion APIs) and improve methods as ecosystems evolve.
• Build data foundations for LTV, retention, cohorts, funnel conversion, unit economics and incrementality testing.
• Serve predicted LTV signals to ad platforms through conversion APIs and reverse ETL.
• Set data quality, testing, observability, SLAs and cost; own privacy and compliance for data.

Skills

Python

SQL

Data modeling

Distributed systems

GCP/AWS

Airflow

dbt

Spark

Event tracking

Attribution

pLTV analytics

Team leadership

Ownership

Subscription data

Tools

BigQuery

Snowflake

Redshift

dbt

Airflow

Dagster

Job description

We incubate viral consumer brands and scale them until they become independent companies.

In 12 months we took three apps, in three unrelated verticals, from zero to over $70M in combined annual run rate. We're one of the fastest-growing bootstrapped companies in the world.

The role

We're looking for a Head of Data Engineering to own the data platform behind our portfolio of consumer apps, from our team in Bengaluru.

This is part architect, part hands-on engineer, part team builder. Our apps span both subscription and transactional business models: consumer subscription apps with trials, paywalls and renewals, and high-spender transactional apps with VIP tiers and repeat purchases. You'll own everything from event tracking to the warehouse to the predicted LTV signals we send back to ad platforms. Your work will be judged by one thing: whether every team trusts the data and makes faster, better decisions because of it.

What you'll do

• Own the data platform end to end across our portfolio of consumer apps, and set its architecture and roadmap.
• Own event tracking and instrumentation: event schemas, tracking plans and SDKs across iOS, Android, web and backend.
• Build and run batch and streaming pipelines into a modern warehouse or lakehouse (e.g. BigQuery, Snowflake or Redshift, with dbt and Airflow or Dagster).
• Unify revenue and subscription data from the App Store, Google Play, Stripe and subscription platforms into one trusted source of truth.
• Own attribution and ad-network data: MMP, SKAN and server-side event integrations, and keep improving our methods as the ecosystem changes.
• Build the data foundations for LTV, retention, cohorts, funnel conversion and unit economics, and for incrementality testing and marketing mix modeling.
• Serve predicted LTV (pLTV) and value signals to ad platforms through conversion APIs and reverse ETL, in partnership with analytics and UA.
• Set the bar for data quality, testing, observability, SLAs and cost.
• Own privacy, consent and compliance for user and payment data.
• Hire, lead and grow a team of data engineers, and stay hands-on in the code.

Who we're looking for

• 8+ years in data engineering, with at least 2 years leading a team or owning a data platform.
• You have built production data pipelines (e.g. Airflow, dbt, Spark) at consumer scale.
• You have built or owned the data behind LTV, retention or pLTV analytics for a consumer app.
• Strong engineering fundamentals: Python and SQL, data modeling, distributed systems and cloud infrastructure (GCP or AWS).
• Hands-on with event tracking, attribution and ad-platform integrations (MMPs, SKAN, conversion APIs).
• Experience with subscription and/or in-app purchase revenue data, and the edge cases that come with it: trials, refunds, renewals, grace periods and currencies.
• Strong quantitative and statistical background, so you understand how analysts and data scientists use what you build.
• Low ego, fast-moving and high-ownership. You care about the craft, but you care more about whether the business grows.

Useful but not required

• Experience at a high-growth consumer subscription, gaming or real-money gaming app with millions of users.
• Experience with streaming systems (Kafka, Pub/Sub, Kinesis or similar).
• Experience productionizing ML models such as pLTV or churn prediction.
• Experience with incrementality testing or marketing mix modeling data.
• Experience using AI and LLM tooling to speed up data engineering work.

What you get

• Own the data platform for a portfolio of consumer apps generating over $70M in annual run rate.
• Work across product, growth, UA and finance, from a single event schema to the pLTV signals that steer paid acquisition.
• Build and lead the data engineering team at one of the fastest-growing bootstrapped companies in the world