About us
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 Data Engineer, Lead to build the pipelines and data models behind our portfolio of consumer apps, from our team in Bengaluru. This is a senior, hands-on tech lead role. 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 write the pipelines, design the event schemas and models, and build the plumbing that sends predicted LTV signals back to ad platforms. Your work will be judged by one thing: whether the data is fast, correct and trusted by every team that depends on it. What you’ll do
• Build and own production batch and streaming pipelines across our portfolio of consumer apps.
• Design event schemas and tracking plans with product and engineering, and keep instrumentation clean as apps ship weekly.
• Build data models in our warehouse (e.g. BigQuery or Snowflake with dbt) for revenue, subscriptions, cohorts, retention, LTV and funnel conversion.
• Ingest and reconcile revenue data from the App Store, Google Play, Stripe and subscription platforms.
• Build attribution plumbing: MMP, SKAN and server-side event integrations, and ad-network spend and performance data.
• Build reverse ETL and conversion API integrations that send predicted LTV (pLTV) and value events to ad platforms.
• Own reliability: orchestration (Airflow or Dagster), testing, monitoring,



alerting and data quality checks.
• Work closely with analytics, data science and UA to keep improving attribution and measurement methods.
• Act as tech lead: review code, set standards and mentor other engineers. Who we’re looking for
• 5+ years in data engineering or backend engineering with a strong data focus.
• You have built production data pipelines (e.g. Airflow, dbt, Spark) that others depend on.
• Strong Python and SQL, and solid data modeling skills.
• Experience with a cloud data warehouse (BigQuery, Snowflake or Redshift) and cloud infrastructure (GCP or AWS).
• Experience with event tracking, product analytics data or attribution data at a consumer app.
• Strong engineering and quantitative background, with an understanding of the LTV, retention and conversion metrics your data powers.
• Low ego, quick-moving and high-ownership. You care about the craft, but you care more about whether the business grows. Useful but not required
• Experience with subscription or in-app purchase revenue data.
• Experience with MMPs, SKAN, conversion APIs or ad-platform integrations.
• Experience with streaming systems (Kafka, Pub/Sub, Kinesis or similar).
• Experience serving ML model outputs such as pLTV into production systems.
• Experience at a high-growth consumer subscription, gaming or real-money gaming app. What you get
• Build the data platform for a portfolio of consumer apps generating over $70M in annual run rate.
• Work across product, growth and UA, from a single event schema to the pLTV signals that steer paid acquisition.
• A direct path to leading data engineering at one of the fastest-growing bootstrapped companies in the world

📌 Data Engineer, Lead (Bengaluru)
🏢 Triplespeed
📍 Bengaluru