Braze Lead Developer
EXL
Braze Lead Developer
EXL
Analyzes business data and runs outsourced operations
We are seeking a hands-on Braze Lead Developer to build, integrate, and scale Braze solutions for enterprise clients. You will lead a team of developers while remaining deeply hands-on: configuring Braze, building Canvas journeys and personalized content, implementing SDKs and APIs, and engineering data integrations with CDPs, reverse ETL tools, product analytics, and cloud data warehouses (Hightouch, Amperity, Amplitude, Snowflake, and similar). You will own technical quality on implementations and migrations, enforce development standards, collaborate closely with client teams, and contribute reusable code assets to the practice.
Strong understanding of Braze rate limits, data points, and cost / performance optimization.
| Platform | Expected Experience |
|---|---|
| Hightouch | Reverse ETL; audience builder and models; Braze destination syncs; sync monitoring, alerting, and identity handling |
| CDP | Identity resolution and stitching; unified customer profiles; segmentation; activation to marketing channels |
| Amplitude | Behavioral analytics; cohorts, funnels, retention; event instrumentation; cohort sync and event streaming with Braze |
| Other (plus) | Segment, mParticle, RudderStack, Census, Fivetran, dbt, Airflow, Databricks, BigQuery, Redshift |
Candidates should have strong working depth in at least two of the four named platforms and conversational fluency in the rest.
Advanced SQL; working proficiency in Python or JavaScript / Node.js for integrations and automation.
Strong grasp of REST APIs, JSON, webhooks, event-driven and streaming architectures (Kafka, Kinesis, or similar).
Experience with a major cloud platform (AWS, Azure, or GCP) and infrastructure basics such as IAM, secrets, and networking.
Familiarity with Git, CI/CD, and environment promotion practices for marketing assets and data pipelines.
HTML/CSS for responsive email development and in-app / Content Card templates.
Deep knowledge of lifecycle marketing, personalization, customer segmentation, and retention strategy.
Experience in industries such as Communications, Media, Entertainment, Sports, healthcare, retail / e-commerce, or travel & hospitality.
Exposure to AI / ML-driven personalization, predictive churn, next-best-action, and generative AI content workflows.
Background in consent management platforms, privacy engineering, and data governance frameworks.
Experience building executive dashboards in Tableau, Power BI, or Looker.
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Marketing Technology, or a related field.
EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.
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