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.Configure and build Braze workspaces end to end, including data model, custom attributes and events, currencies, catalogs, and multi‑brand / 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 optimise personalization logic using Liquid, Connected Content, Catalogs, Content Blocks, and Braze AI features (Intelligent Timing, Intelligent Selection, predictive models).Perform code and configuration reviews, troubleshoot production issues, and tune performance and rate limits for high‑volume sends.Data, Identity &

• Integration Engineering Build warehouse‑native activation pipelines using Snowflake with Hightouch or Census, Braze Cloud Data Ingestion, and Snowflake Data Sharing.Develop bidirectional data flows with Amplitude (events, cohorts, predictions) and configure Currents to stream engagement data back to the warehouse.Implement event taxonomy, schema validation,



and data‑quality checks across the stack.Technical Delivery &

• Quality Lead hands‑on technical delivery for implementation, migration, and optimisation programmes, including migrations from Salesforce Marketing Cloud, Iterable, Klaviyo, Adobe Campaign, or Oracle Responsys.Implement and guide Braze SDK integration (iOS, Android, Web), API usage, CI/CD for Braze assets, environment management, and QA/testing.Execute deliverability set‑up, including IP warm‑up, domain authentication (SPF, DKIM, DMARC), BIMI, and sender reputation monitoring.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.Lead and mentor developers and campaign specialists through code reviews, pairing, and Braze certification.5+ years 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 / performance optimisation.CDP &

• Data Platform Experience sync monitoring, alerting, and identity handlingCDP - unified customer profiles

• Segment, mParticle, RudderStack, Census, Fivetran, dbt, Airflow, Databricks, BigQuery, RedshiftCandidates should have solid working depth in at least two of the four named platforms and conversational fluency in the rest.Technical Skills 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, personalisation, customer segmentation, and retention strategy.Experience in industries such as Communications, Media, Entertainment, Sports, healthcare, retail / e‑commerce, or travel & hospitality.ability to explain technical design choices to both technical and business audiences.Proven ability to lead and mentor distributed development teams in agile, client‑facing delivery environments.Exposure to AI / ML‑driven personalisation, 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. #

📌 Machine Learning Lead Developer (Winnipeg)
🏢 exl
📍 Winnipeg