Lead the vision, strategy, and execution of data engineering capabilities across the Restaurant domain, building and scaling a high-performing engineering organization to develop reliable, secure, and scalable data platforms and products powering restaurant operations analytics, artificial intelligence, operational reporting, and data-driven decision-making across global restaurants and markets.
Compensation
The expected salary range for this role is $243,000 - $303,000 per year
Responsibilities
Define and execute the data engineering strategy, roadmap, standards, and operating model for the Restaurant data domain in alignment with enterprise objectives.
Establish long-term vision for restaurant data platforms, operational data products (e.g., Restaurant Master Data, sales data pipelines, restaurant operations & IoT telemetry), data architecture, and engineering capabilities to support evolving global operations, digital restaurant, and operational excellence needs.
Lead and develop a large, geographically distributed team of data engineering leaders, managers, architects, and engineers while fostering a culture of innovation, accountability, inclusion, and continuous improvement.
Drive strategic talent and insourcing initiatives, building sustainable internal engineering capability and transitioning vendor/contractor capacity into high-performing internal engineering squads.
Drive the design, implementation, and optimization of scalable data ecosystems that support restaurant operations analytics, machine learning, sales reporting, IoT telemetry processing, and self-service business intelligence.
Requirements
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field
Nice to have: Restaurant operational analytics
Nice to have: Retail operational analytics
Nice to have: Point-of-sale (POS) data integration
Lead a portfolio of digital products critical to Exelixis’s success, driving strategy, development, and operational excellence of the digital application ecosystem.
Compensation
Range for this position: $190,000 - $239,500
Responsibilities
Define product roadmaps and strategy for multiple digital products
Foster cross-functional collaboration and lead agile product teams
Drive product development from concept to launch and post-launch support
Draft user stories and acceptance criteria
Collaborate with engineering, architecture, and QA teams
Requirements
Bachelor’s degree in related discipline
Master's degree in mathematics or statistics or engineering
The Network Engineer is a central university office position responsible for voice, data, and wireless engineering for Emory Enterprise communications systems.
Responsibilities
Apply knowledge of network systems, applications, and network infrastructure to provide technical expertise for network infrastructure designs, expansions and configurations
Monitor critical processes for Emory's enterprise-wide systems and applications in the Network Operations Center
Address interruptions and failures and interact with programmers and requestors to troubleshoot and resolve issues
Develop software and tools for optimizing network monitoring and performance
Install, configure, maintain, and troubleshoot network services and devices
Requirements
Bachelor's degree in computer science, computer engineering, or related field
Lead the design, build, and launch of revenue operations automation and agent systems to increase sales productivity and pipeline.
Locations (2)
San Francisco, California, United States
San Mateo, California, United States
Compensation
Competitive base and significant equity.
Responsibilities
Map and automate workflows across marketing, sales, support, finance, and alliances
Build agents that research, route, and enrich leads, chase follow-ups, assemble deal reviews, flag at-risk renewals, and kick off co-sell with partners
Engineer the data foundation for the engine
Launch new motions with built-in automation and instrumentation
Turn signals into automated actions and route to the right owner
Senior Machine Learning Engineer, MLOps to help operationalize and scale our machine learning systems. This is an engineering-focused role centered on building the workflows, infrastructure, and processes that enable ML to move from research into reliable production systems.
Compensation
Competitive salary and equity in a high-growth startup
Responsibilities
Build and maintain the workflows and infrastructure that support the end-to-end ML lifecycle
Partner with researchers and ML practitioners to productionize models and enable faster iteration
Design, build, and improve data pipelines and training pipelines
Improve data processing, annotation workflows, and ML system efficiency
Deploy and maintain the background systems that support model training and inference
Responsible for designing and evolving SafeWork NSW’s data architecture and platforms, including the move to a modern, cloud-based data platform built on open standards.
Locations (3)
Sydney, New South Wales, Australia
Gosford, New South Wales, Australia
Parramatta, New South Wales, Australia
Compensation
Grade: 9/10 Salary range: $133,348-146,945 + superannuation and leave loading
Responsibilities
Analyse data architecture requirements across systems, platforms and applications to inform data management standards and solutions
Design and contribute to the development of enterprise data architecture, including layered (raw, validated and business-ready) data models, structures and frameworks
Support the implementation of data governance processes, ensuring compliance with data security, privacy and integrity standards, including classification and access control
C
Technology Lead | Architecture | TOGAF – AI Architect
Join us as a Jr. Data Solutions and Software Engineer to innovate, and build next generation, enterprise, scalable, and resilient data solutions.
Compensation
The grade-based pay range for this job is listed below. (Min - Max)
$81,700.00 - $122,500.00
Pay Basis: Annual
Responsibilities
Collaborating closely with National Security Space, United States Space Force, and other Department of Defense customers.
Providing advanced data architecture and engineering designs and solutions for the space enterprise.
Supporting the development of highly resilient and efficient data architectures, platforms, and solutions that are central to both current and future information systems.
Supporting our customers by managing rapidly growing data volumes with innovative data platforms.
Lead, coordinate, and collaborate with multi-functional teams to build and deploy prototypes and internal enterprise applications/platforms that support the customer’s mission using public and private cloud.
Requirements
Bachelor’s or advanced degree in Computer Science or a related STEM field from an accredited institution
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