Senior Braze Data Engineer

eClerx; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

eClerx LLC in Bengaluru is seeking an experienced Data Engineer to support a Fintech migration from SFMC to Braze, delivering a scalable Braze data layer and integrations across markets.

The role translates architectural designs into reliable, high-quality data pipelines, with emphasis on data governance, privacy, and performance. Collaboration with cross-functional teams is essential for success.

Qualifications

• 6+ years in Data Engineering / MarTech implementation.
• Proficiency in SQL and Python for pipeline development and data transformation.
• Hands-on with REST APIs and system integrations.
• Experience with GCP data services (BigQuery, Pub/Sub) and data governance.

Responsibilities

• Map user profile flow to Braze; set up identity resolution and profile synchronization across mobile, web, and server-side sources.
• Align event schema to the client's data model; build data pipelines with event mapping via REST APIs / CDI.
• Perform data cleansing, deduplication, transformation, automated validation, and reconciliation against source.
• Apply data governance and security controls (PII, access controls); run pre-release unit/integration tests.
• Build a reusable data-layer template, then adapt it per market for local attributes, data residency, and compliance.
• Support post-go-live stabilization — monitor data drift, resolve production data issues, reconcile across live markets, and hand over runbooks.
• Collaborate hands-on with the client's internal engineering, mobile, and web SDK teams.

Skills

SQL

Python

ETL pipelines

Data integration

Event streaming

Tools

BigQuery

Pub/Sub

REST APIs

Braze

SFMC

Job description

eClerx is seeking an experienced Data Engineer to support a Fintech client's migration from Salesforce Marketing Cloud (SFMC) to Braze, as part of a strategic MarTech transformation. Working to the Solution Architect's design, this hands-on role builds and operationalizes the Braze data layer and its integrations across multiple markets — executing the architecture rather than redefining it.

The ideal candidate combines strong data engineering capabilities with Braze/MarTech familiarity, translating architectural designs into scalable, high-quality data pipelines while ensuring data integrity, governance, and performance.

Key Responsibilities

• Map user profile flow to Braze; set up identity resolution and profile synchronization across mobile, web, and server-side sources
• Align event schema to the client's data model; build data pipelines with event mapping via REST APIs / CDI
• Perform data cleansing, deduplication, transformation, automated validation, and reconciliation against source
• Apply data governance and security controls (PII, access controls); run pre-release unit/integration tests
• Build a reusable data-layer template, then adapt it per market for local attributes, data residency, and compliance
• Support post-go-live stabilization — monitor data drift, resolve production data issues, reconcile across live markets, and hand over runbooks
• Collaborate hands-on with the client's internal engineering, mobile, and web SDK teams

Core Requirements

• 6+ years in Data Engineering / MarTech implementation
• Strong data engineering background — ETL pipelines, data integration, and event streaming
• Proficiency in SQL and Python (or equivalent) for pipeline development and data transformation
• Hands-on with REST APIs and system integrations
• Experience with GCP data services (BigQuery, Pub/Sub, or equivalent)
• Solid grounding in data validation, governance frameworks, and PII/security handling
• Strong debugging, troubleshooting, and performance-optimization skills
• Proven ability to work directly with cross-functional engineering teams in a hands-on delivery role

Preferred Skills

• Hands-on Braze experience — SDKs, APIs, event tracking, and Currents (or fast ramp-up on the platform); Braze Data Engineer certification a plus
• Experience with CDPs or marketing data platforms
• Prior MarTech or marketing-automation migration experience (SFMC, Braze, or similar)
• Familiarity with identity resolution / ID-stitching across multiple data sources
• Exposure to multi-market or multi-region rollouts, including data-residency and consent/compliance handling