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EXL

Analyzes business data and runs outsourced operations

Braze Lead Developer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeCanadaNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of hands-on Braze development experience, including leading the build on at least two enterprise implementations or migrations.
  • Strong hands-on skills in Canvas Flow, segmentation, Liquid, Connected Content, Catalogs, Content Blocks, and Braze AI capabilities.
  • Practical experience implementing Braze SDKs, REST API, SCIM, export endpoints, webhooks, Currents, Cloud Data Ingestion, and Snowflake Data Sharing.
  • Strong understanding of Braze rate limits, data points, and cost and performance optimization.
  • Strong working depth in at least two of Hightouch, a CDP, Amplitude, and another named platform, with conversational fluency in the remaining platforms.
  • Experience with Hightouch reverse ETL, audience builder and models, Braze destination syncs, sync monitoring, alerting, and identity handling.
  • Experience with CDP identity resolution and stitching, unified customer profiles, segmentation, and activation to marketing channels.
  • Experience with Amplitude behavioral analytics, cohorts, funnels, retention, event instrumentation, cohort sync, and event streaming with Braze.
  • Advanced SQL and working proficiency in Python or JavaScript/Node.js for integrations and automation.
  • Strong grasp of REST APIs, JSON, webhooks, and event-driven and streaming architectures such as Kafka or Kinesis.
  • 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 skills for responsive email development and in-app and Content Card templates.
  • Deep knowledge of lifecycle marketing, personalization, customer segmentation, and retention strategy.
  • Experience in communications, media, entertainment, sports, healthcare, retail/e-commerce, or travel and hospitality industries.
  • Ability to explain technical design choices to technical and business audiences in client-facing settings.
  • Proven ability to lead and mentor distributed development teams in agile, client-facing delivery environments.
  • Bachelor's or master's degree in Computer Science, Engineering, Data Science, Marketing Technology, or a related field.

Responsibilities

  • Configure and build Braze workspaces end to end, including data models, custom attributes and events, currencies, catalogs, and multi-brand and multi-region setups.
  • Develop and maintain integrations between Braze, CDPs, data warehouses, and source systems using batch, streaming, and API-driven patterns.
  • Build, test, and deploy Canvas Flow journeys across email, push, in-app, SMS, WhatsApp, Content Cards, and webhooks.
  • Write and optimize personalization logic using Liquid, Connected Content, Catalogs, Content Blocks, and Braze AI features such as Intelligent Timing, Intelligent Selection, and predictive models.
  • Perform code and configuration reviews, troubleshoot production issues, and tune performance and rate limits for high-volume sends.
  • Implement identity resolution in Braze, including external ID management, anonymous-to-known user merges, and alias handling.
  • Build warehouse-native activation pipelines using Snowflake with Hightouch or Census, Braze Cloud Data Ingestion, and Snowflake Data Sharing.
  • Integrate Amperity for identity stitching, unified profiles, and audience activation into Braze.
  • Develop bidirectional data flows with Amplitude, including events, cohorts, and predictions, and configure Currents to stream engagement data back to the warehouse.
  • Implement event taxonomy, schema validation, and data-quality checks across the stack.
  • Implement consent, subscription, and preference management in line with GDPR, CCPA, TCPA, CAN-SPAM, and HIPAA where applicable.
  • Lead hands-on technical delivery for implementation, migration, and optimization programs, including migrations from Salesforce Marketing Cloud, Iterable, Klaviyo, Adobe Campaign, or Oracle Responsys.
  • Implement and guide Braze SDK integration for iOS, Android, and web, API usage, CI/CD for Braze assets, environment management, and QA/testing.
  • Execute deliverability setup, including IP warm-up, domain authentication (SPF, DKIM, and DMARC), BIMI, and sender reputation monitoring.
  • Set up A/B, multivariate, and holdout experiments and the tracking needed to measure lift, LTV, churn, and ROI.
  • Maintain technical documentation, runbooks, and release processes for client marketing technology teams.
  • Work with client marketing, product, and engineering teams to translate requirements into technical designs and development tasks.
  • Provide technical estimates, solution inputs, and demos to support proposals and pre-sales.
  • Build reusable code libraries, Liquid templates, Canvas templates, and integration accelerators for the Braze practice.
  • Lead and mentor developers and campaign specialists through code reviews, pairing, and Braze certification.

Desired Qualifications

  • Braze Developer or Architect certification.
  • 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.

About the Company

EXL

Analyzes business data and runs outsourced operations

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.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1999

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