Role Description At Blue Yonder, we are transforming how organizations access, understand, and act on critical supply chain intelligence. Our mobile ecosystem delivers real-time, AI-driven insights and empowers enterprise decision-making on the go through secure, performant, and beautifully crafted experiences on both iOS and Android. As a Staff Mobile Engineer, you will serve as the technical architect and hands-on expert driving the evolution of our cross-platform mobile platform. This is an individual contributor role with significant technical leadership responsibility. You will: - Architect, implement, and evolve a high-performance cross-platform mobile application using React Native to deliver seamless device-agnostic experiences. - Provide technical leadership across engineering teams, making key architectural decisions, performing deep technical reviews, and guiding engineers without direct people management responsibilities. - Understand, shape, and champion Blue Yonder’s Mobile Studio platform, ensuring consistent implementation patterns, guiding teams as they onboard, and driving long-term platform scalability and developer experience. - Define and maintain scalable mobile architectures that support multi-tenant enterprise-grade supply chain workflows. - Drive cross-platform strategy and technology patterns that improve performance, maintainability, and long-term sustainability. - Integrate and optimize Azure cloud services to power real-time shipment tracking, inventory visibility, predictive analytics, and edge-aware workflows. - Lead identity and security implementation, including AAD, OIDC, and evolving authentication standards such as Gravitee. - Champion performance, security, and reliability by profiling and optimizing startup time, memory usage, rendering performance, and network throughput. - Work closely with product, UX and UI, backend, cloud, and platform teams to align technical execution with customer and business value. - Establish engineering best practices, architectural guardrails, and CI and CD patterns for mobile delivery at scale. This role offers the opportunity to define the technical foundation of Blue Yonder’s mobile strategy, influence platform-wide decisions, and build a world-class enterprise mobile experience at scale. Qualifications - Min of 7+ years designing, building, and maintaining large-scale mobile applications using React Native, Swift, and Kotlin. - Proven track record of delivering visually polished and resilient apps with strong long-term maintainability. - Expertise designing scalable and flexible mobile architectures for iOS and Android using modern tools and best practices. - Experience evaluating and adopting cross-platform technologies to improve performance, maintainability, and developer experience. - Skilled in performance profiling, memory management, startup optimization, and overall app responsiveness at scale. - Strong understanding of backend systems and microservices, ideally with Node.js and TypeScript. - Skilled in REST API design, integration with cloud services, and working with NoSQL databases such as MongoDB. - Hands-on experience implementing authentication and identity solutions including AAD, OIDC, and evolving IAM platforms such as Gravitee. - Experience establishing engineering best practices, coding standards, architectural guardrails, and platform-wide patterns. - Experience building CI and CD pipelines with GitHub Actions and managing mobile releases through App Store Connect and Google Play Console. - Strong advocate for quality with experience in unit, integration, and end-to-end testing using WebdriverIO, Appium, and SauceLabs. - Effective collaborator with product, UX and UI, backend, cloud, and platform teams. - Strong communicator able to translate business needs into scalable technical solutions and mobile experiences that deliver customer and enterprise value. Requirements - Senior or staff-level individual contributor experience providing architectural direction, conducting deep technical reviews, and mentoring engineers across distributed teams. Benefits - Comprehensive Medical, Dental and Vision - 401K with Matching - Flexible Time Off - Corporate Fitness Program - Wellbeing Days - A variety of voluntary benefits such as Legal Plans, Accident and Hospital Indemnity, Pet Insurance and much more

Role Description Own the hands-on engineering of JD Power's Snowflake data platform. Responsible for translating the Platform Lead's architecture and governance direction into a production-grade, automated, and observable Snowflake environment that supports analytics, product, and AI/ML workloads across the enterprise. The Scope & Ownership You Will Have in This Role: - Owns Snowflake account, warehouse, and object architecture. - Infrastructure-as-Code repository and CI/CD for all Snowflake changes. - RBAC implementation, security controls, and identity integration. - Ingestion and integration patterns (Snowpipe, Streams/Tasks, managed connectors). - Platform observability, cost monitoring, and performance tuning. - Documentation, runbooks, and onboarding patterns for platform consumers. Does not own: - Governance policy and strategy (owned by the Platform Lead). - Business data modeling and semantic layer (owned by Analytics Engineering). - Source system data quality at point of capture (owned by upstream teams). What You’ll Be Doing in This Role: - Design and evolve Snowflake account, warehouse, and object architecture. - Implement and maintain all Snowflake objects, roles, and policies in Terraform. - Operate database CI/CD using Schemachange, Liquibase, or equivalent. - Tune performance: clustering, search optimization, materialized views, query profiling. - Build and maintain the functional/access role hierarchy enforcing least privilege. - Implement masking policies, row access policies, object tagging, and network policies. - Integrate Snowflake with IdP for SSO/SCIM; manage service accounts and key rotation. - Partner with InfoSec, Privacy, and Compliance on audit readiness and control attestation. - Operate Snowpipe, Snowpipe Streaming, Streams/Tasks, and Kafka Connector pipelines. - Manage Fivetran/Airbyte (or equivalent) connector deployments and reliability. - Implement Iceberg / external tables where lakehouse interoperability is required. - Integrate with orchestration (Airflow / dbt Cloud) and observability tooling. - Define and meet SLOs for platform reliability, freshness, and cost. - Build dashboards and alerting; lead incident response for platform issues. - Document architecture decisions, patterns, and runbooks. - Enable Analytics Engineering, Product Engineering, and Data Science consumers. Qualifications - 5+ years of professional data platform, data engineering, or data infrastructure experience. - 3+ years of hands-on Snowflake experience at production scale (not pilot/POC). - Demonstrated expertise in Snowflake RBAC design, warehouse sizing and cost governance, performance tuning, and security features. - Strong SQL — able to read and optimize a query profile. - Python for tooling, automation, and pipelines. - Production IaC experience — Terraform required; Snowflake provider strongly preferred. - Database CI/CD using Schemachange, Liquibase, dbt, or equivalent change-management tooling. - Cloud fluency in AWS — networking, IAM, storage, and Snowflake integration points. - Ingestion experience with Snowpipe, Streams/Tasks, Kafka, and/or Fivetran/Airbyte. - Communication — able to author decision records and runbooks; able to influence without authority. Requirements - SnowPro Advanced certification (Architect, Data Engineer, or Administrator). - Hands-on dbt and modern Analytics Engineering experience. - Experience with Snowflake Horizon Catalog, Polaris, Collibra, or Alation. - Streaming and CDC: Kafka, Debezium, Snowpipe Streaming, Dynamic Tables. - Iceberg / lakehouse architecture. - Data observability tooling (Monte Carlo, Bigeye, Datadog). - Automotive, financial services, insurance, or regulated consumer-data experience. - AI/ML workloads on Snowflake (Cortex, Snowpark, feature stores). Benefits - This position has a starting salary range of $120K -$150K USD/$110K -$120K CAD per year. - An employee’s pay within the range is determined by a number of factors, including relevant skills, education, qualifications, experience, performance, business or organizational needs, and geographic location.

• Lead the design, delivery, and operation of production-grade engineering capabilities that support cyber operations at scale. • Build reliable, secure, and observable services, tools, platforms, or data pipelines aligned to shared engineering standards. • Own service and platform lifecycle expectations, including reliability, operational readiness, observability, and continuous improvement. • Partner across product, platform, and engineering stakeholders to shape architecture, integration design, and delivery sequencing. • Drive platform maturity through automation, reuse, standardization, and strong operational discipline. • Coach and develop engineers while building high-performing teams with strong execution and systems thinking.

• Take ownership of our data ecosystem as a Data Platform Engineering Manager • Lead, mentor and grow a high-performing team of data engineers • Define the strategic vision and technical roadmap for our data platform • Critically evaluate architectural proposals and technical designs • Champion engineering excellence by embedding best practices • Collaborate with Product, Architecture, Analytics, Operations and Security teams • Drive projects from inception to delivery • Engage with clients and vendors on integration patterns