Top Tech Jobs & Startup Jobs in Vancouver

Manages a data engineering team and oversees scalable, reliable data pipelines, infrastructure, tooling, and architecture. Partners with analytics, finance, compliance, product, and engineering stakeholders while communicating with regulators and supporting audit-driven deadlines. Responsibilities include team leadership, project prioritization, technical guidance, data governance, system design, performance management, and continuous improvement of data engineering practices.

Leads the Growth Platforms organization, defining strategy and roadmaps for promotions, loyalty, CRM, customer segmentation, and marketing data products. Builds unified promotional and customer data platforms supporting personalized experiences across online gaming, sports betting, retail, and loyalty channels. Partners with Marketing, Engineering, Data, and Analytics on architecture, experimentation, measurement, and activation. Manages and develops Product Managers while aligning senior stakeholders and driving customer growth, engagement, and retention.

Leads the Core Products organization across identity and trust, payments and fraud, and internal tools. Sets product strategy, manages multiple product teams, owns customer journeys such as onboarding, verification, funding, and withdrawals, and partners with Engineering, Compliance, Risk, Design, Analytics, and Operations. Drives scalable platform capabilities, regulatory compliance, customer experience, fraud prevention, internal workflow modernization, KPI measurement, and executive stakeholder alignment.

Design, scale, and operate high-performance software systems powering sportsbook, casino, financial ledger, regulatory, and risk-management functions. Responsibilities include developing GraphQL APIs and gRPC services, optimizing databases and production performance, building integrations and migrations, monitoring services, mentoring engineers, and leading complex technical initiatives. The role requires strong distributed-systems, database, containerization, testing, asynchronous processing, and production operations experience.

Leads the design and delivery of scalable data pipelines, dbt models, orchestration workflows, and analytical data models. Establishes data architecture, engineering standards, testing, observability, governance, and quality practices. Partners with stakeholders to deliver data-driven solutions, supports incident response, and provides technical leadership through design reviews, mentorship, hiring, and team development.

Own and operate infrastructure for a large-scale sports betting and media platform across cloud and production environments. Lead infrastructure migrations, build Kubernetes platform tooling and CI/CD automation, improve observability and incident response, support development teams, troubleshoot distributed systems, reduce operational toil, and mentor engineers.

Drive enterprise automation initiatives from opportunity identification through delivery and optimization. Partner with business leaders, engineering teams, RPA specialists, AI strategists, and vendors to prioritize and implement scalable solutions. Manage the automation portfolio, discovery and intake processes, vendor relationships, delivery alignment, KPIs, and continuous improvement efforts. Evaluate AI-supported solutions and ensure automation initiatives meet business, compliance, technical, and operational objectives.

Design, scale, and performance-tune GraphQL APIs, gRPC services, and SQL queries for a promotions engine. Deliver end-to-end features, own complex technical problems, troubleshoot production performance, set up DataDog monitoring, participate in on-call rotations, and mentor teammates across the codebase.

Design, build, scale, and optimize backend services powering the sportsbook marketplace. Own GraphQL APIs, gRPC endpoints, SQL performance, monitoring, on-call and release duties. Identify production bottlenecks, drive scalability improvements, mentor engineers, review cross-team changes, and deliver end-to-end features in an agile environment.

Lead design and delivery of platform capabilities for a federated GraphQL and event-driven architecture. Build and optimize gRPC endpoints, GraphQL APIs, and SQL/Postgres queries. Own observability (DataDog, Bugsnag), scalability, reliability, incident response, and integrations. Mentor engineers and drive cross-team technical efforts to reduce friction and accelerate product delivery.