Top Tech Jobs & Startup Jobs in Vancouver

Build and validate transformed data, develop dbt models, manage Airflow scheduling, and support data pipelines. Analyze data and present recommendations to stakeholders, ensure insight accuracy, implement data exploration tools, and mentor team members. The role requires collaboration across business and engineering teams, strong SQL expertise, and experience with BigQuery, dbt, Airflow, Python, and relational databases.

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.

Supports 24/7 risk and trading operations for online sports betting platforms. Responsibilities include assisting traders, configuring sports and competition setups, testing and monitoring app functionality, conducting compliance checks, reviewing betting content, monitoring pre-game and in-play markets, communicating with data providers, and helping resolve customer experience issues. Requires strong sports knowledge, computer proficiency, clear communication, and availability for evenings, weekends, and holidays.

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.

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.

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.

Design, administer, and optimize Postgres databases on cloud-native platforms. Triage and remediate production database incidents, manage replication/backups, evaluate schemas and queries for performance, and build repeatable DB architecture using IaC and GitOps for AWS/GCP Kubernetes environments.