About MoEngage

MoEngage is an insights-led customer engagement platform trusted by 1,350+ global consumer brands, including McAfee, Flipkart, Domino’s, Nestle, Deutsche Telekom, and OYO. MoEngage combines data from multiple sources to help brands gain a 360-degree view of their customers.  

MoEngage Analytics arms marketers and product owners with insights into customer behavior. Brands can leverage MoEngage Personalize to orchestrate journeys and build 1:1 conversations across the website, mobile, email, social, and messaging channels. MoEngage Inform, the transactional messaging infrastructure, helps unify promotional and transactional communication to a single platform for better insights and lower costs. MoEngage’s AI Suite helps marketers develop winning copies and creatives, optimize campaigns and channels that boost engagement, and help with faster execution.

For over a decade, consumer brands in 60+ countries have been using MoEngage to power digital experiences for over a billion monthly customers. With offices in 15 countries, MoEngage is backed by Goldman Sachs Asset Management, B Capital, Steadview Capital, Multiples Private Equity, Eight Roads, F-Prime Capital, Matrix Partners, Ventureast, and Helion Ventures.

MoEngage was named a Contender in The Forrester Wave™: Real-Time Interaction Management, Q1 2024 report, and Strong Performer in The Forrester Wave™ 2023 report. MoEngage was also featured as a Leader in the IDC MarketScape: Worldwide Omni-Channel Marketing Platforms for B2C Enterprises 2023.

About the Role

MoEngage's Data Charter sits at the core of how customer data flows into, through, and out of the platform — spanning ingestion, storage, quality, governance, and interoperability with the broader customer data ecosystem. This is a platform-as-a-product role: you will own the data layer that every other product at MoEngage — campaigns, analytics, segmentation — depends on, and you will be the connective tissue between engineering, enterprise customers, and internal stakeholders who consume this platform daily.

Key Responsibilities

• Own data ingestion, quality, and observability initiatives — designing systems to detect, alert, and resolve data drops, schema drift, and pipeline failures before they impact customer-facing use cases
• Be the authoritative voice on the data platform's architecture, capabilities, and constraints — enabling other product teams to build confidently on top of it
• Partner with engineering to define scalable, reliable architecture for high-volume event and profile data pipelines, balancing latency, cost, and correctness
• Drive data governance and compliance requirements (data retention, archival, encryption, and privacy regulations like GDPR/DPDP) into product decisions
• Work closely with enterprise customers and stakeholders to understand their needs and translate them into product requirements
• Define, track, and own platform health metrics and use it to prioritize the roadmap and tell the platform's story.

Requirements

• 5+ years of experience building data products — data pipelines, data platforms, data quality/observability tooling, or similar products
• Working knowledge of Customer Data Platforms (CDPs)/ Data Warehouses is a plus
• Solid grasp of data engineering concepts: data models, schemas, identity resolution, data relationships and data reconciliation is a must have
• Experience working with enterprise or BFSI-grade customers where data compliance, retention, and auditability are non-negotiable
• Demonstrated ability to influence roadmaps and drive alignment across product, engineering, and business stakeholders without direct authority
• Ability to translate technical data architecture trade-offs into clear business narratives for both engineering and leadership audiences