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
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
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
Develop and communicate data-driven and actionable insights to inform launch & go-to market strategies and meet commercial objectives within the DHH US & Global Market Engagement Team.
Locations (4)
North Wales, Pennsylvania, United States
San Francisco, California, United States
Los Angeles, California, United States
Rahway, New Jersey, United States
Compensation
The salary range for the primary location of this role is: $129,000.00 - $203,100.00
Responsibilities
Translate business needs and priorities to build analytical plans that answer business questions by providing actionable insights
Lead global product strategy for AI‑driven laboratory automation and workflows, shaping digital backbone of research labs and architecting autonomous, closed‑loop labs.
Compensation
The expected salary range for this position based on the primary location of CA is 170,200-$316,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance.
Responsibilities
Own multi‑year product vision, strategy, and roadmap for AI‑orchestrated laboratory workflows and automation globally
Identify high‑value opportunities where AI, intelligent automation, optimization, and agentic capabilities can improve experiment planning, laboratory execution, scientific throughput, and researcher experience
Partner closely with scientists and laboratory teams to understand existing workflows and determine where automation, AI, or workflow redesign can remove bottlenecks and improve experimental outcomes
Guide emerging capabilities—including experiment planning, intelligent scheduling, agentic execution, and anomaly detection—from prototype to production‑scale scientific adoption
Lead multidisciplinary global teams spanning product, scientific SMEs, AI/ML, software and data engineering, automation engineering, UX, laboratory operations, security, quality, and external vendors
Requirements
Advanced degree (Master’s or Ph.D.) in Life Sciences, Bioengineering, Robotics, Computer Science, AI/ML, or an adjacent quantitative discipline
Sr. Software Dev Engineer, Ads Datalake (Advertising Core Infra)
Lead the design, development, and operation of high‑scale Java services and AI‑enabled data pipelines for Amazon Ads’ central data lake, Spektr, ensuring 99%+ availability and rapid deployment through CI/CD automation.
Compensation
USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually
Responsibilities
Design, code and deploy micro‑services for the core job management pipeline
Ensure testability, maintainability and low operational footprint for your code
Participate in operational responsibilities with your team
Innovate on AWS technology to improve latency, reduce cost and operations
Engage with key decision makers such as Product & Program Managers to understand customer requirements and brainstorm on solutions
Requirements
Bachelor's degree in computer science or equivalent
Architect, scale, and own the technical roadmap for the platforms that drive IREN’s global data center footprint, bridging complex supply chain business processes (Demand Planning, Capacity Forecasting, MRP, S&OP) with cutting-edge software and data systems.
Compensation
The expected base salary for this role USD $290,000-$330,000/annum. Total Compensation package may be inclusive of annual incentive bonus, equity (long-term incentive).
Responsibilities
Define the end-to-end technical architecture and data strategy for IREN’s proprietary and integrated supply chain planning platforms, and own the technical roadmap for them.
Translate supply chain business problems into scalable software requirements and technical roadmaps.
Lead the integration of Enterprise Resource Planning (ERP) and Supply Chain Planning (SCP) systems (for example SAP and Oracle) with bespoke internal microservices and telemetry data.
Oversee the design and optimization of high-throughput distributed data pipelines, both batch and real-time streaming.
Partner with Data Science to deploy machine learning and advanced analytics models for component-level demand forecasting, lead-time anomaly detection and buffer stock optimization.
Requirements
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, Operations Research, Data Science, Supply Chain Management, Engineering or a related quantitative field
Design, develop, support, and optimize enterprise data integration solutions that enable the movement, transformation, and delivery of data across business systems.
Compensation
The potential base pay hiring range for this role is $73,500 to $105,600 yearly.
Responsibilities
Design, develop, test, deploy, and support ETL/ELT processes and data integration solutions.
Build and maintain data pipelines that ingest information from internal applications, vendors, APIs, and third‑party financial systems.
Develop reusable integration frameworks and patterns to improve scalability and maintainability.
Support batch, near real‑time, and event‑driven data integration architectures.
Troubleshoot and resolve data flow, performance, and reliability issues.
Requirements
Bachelor's degree in Computer Science or related field
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
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