Lead the architecture and technical design of enterprise cloud data platforms. This role combines architecture ownership with hands-on guidance for delivery teams and close collaboration with business, product, governance, and engineering stakeholders.
Locations (2)
Dallas, Texas, United States
Santa Clara, California, United States
Compensation
$170K – $190K base+ 5% performance bonus + 10% org bonus + Nagarro benefits
For contractors: up to $120/hr on C2C
Responsibilities
Own end-to-end architecture for data ingestion, transformation, data products, APIs, governance, security, observability, and application integration.
Design scalable Snowflake data architectures, including Bronze, Silver, and Gold layers, data models, and reusable onboarding patterns.
Define AWS-based integration, security, performance, reliability, and deployment patterns.
Guide source-to-target mapping, data modeling, data quality, lineage, metadata, access controls, and production readiness decisions.
Lead architecture reviews, resolve technical risks, and ensure consistency across onsite and distributed engineering teams.
Lead end-to-end data migration strategy and execution for S/4HANA programs, design and execute selective data transition approaches, and ensure data integrity and compliance during transformation.
Locations (2)
Brisbane, Queensland, Australia
New South Wales, Australia
Compensation
Salary: AUD 150,742 – 171,215 Annual Gross
Responsibilities
Lead end-to-end data migration strategy and execution for S/4HANA programs
Define and execute Selective Data Transition (SDT) approaches, including scope definition, carve-outs, and historical data migration
Analyze legacy data structures and map to S/4HANA data model
Design and execute data extraction, transformation, cleansing, validation, and load processes
Work with migration tools such as SAP Migration Cockpit (LTMC/LTMOM), Data Services, Migration Object Modeler, and third-party SDT tools
Requirements
Sr Director, Data Engineering - Restaurant Data & Analytics
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.
Lead internal technical authority overseeing data architecture projects for external partners, ensuring alignment with enterprise standards and strategic goals.
Compensation
The pay range for this position is $80.00 - $87.00/hr.
Responsibilities
Provide expert oversight for data projects delivered by external partners
Review partner-created architecture, code, and technical designs
Participate in meetings with implementation partners and internal stakeholders
Monitor progress and ensure adherence to operational principles
Identify and flag deviations, risks, or quality concerns
Lead and provide technical leadership for multiple data‑engineering teams supporting the Wealth domain, driving architecture, design, and end‑to‑end data pipeline delivery.
Compensation
$168,550 - $191,850
Responsibilities
Lead four data‑engineering teams supporting the Wealth domain
Provide hands‑on technical leadership across architecture, solution design, implementation, and engineering quality
Review technical designs and code, challenge engineering decisions constructively
Guide the development and operation of end‑to‑end data pipelines with a focus on Databricks
Establish and reinforce engineering standards for data quality, error handling, monitoring, and reliable pipeline development
Requirements
Bachelor’s or master’s degree in Computer Science, Engineering, Information Technology, or a related field of study.
Nice to have: Direct experience with Databricks and Spark
Nice to have: Experience leading globally distributed or offshore engineering teams
Nice to have: Experience establishing engineering standards across multiple teams or domains
Nice to have: Experience within financial services, retirement, wealth management, or investment‑related data environments
Build and operate connectivity, profiling, and graph/search foundation for enterprise ontology and knowledge management platforms.
Compensation
The annual salary for this position is anticipated to be between $100,000 and $120,000 USD, depending on experience, qualifications, geographic location, and other factors permitted by law.
Responsibilities
Transform raw operational and master data sources into clean, lineage-tracked, governed, and queryable knowledge assets
Design and support data connectivity, metadata management, graph platforms, ingestion frameworks, and search capabilities
Build adapters and integration frameworks for BigQuery, Cloud SQL, REST APIs, Apigee, GCS, Pub/Sub
Establish scalable ingestion patterns for operational, transactional, and master data systems
Support API-based integrations across enterprise applications and data platforms
Requirements
Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related discipline
The Senior Data Insights Analyst is a senior specialist role within BI & Analytics, providing a dedicated analytical partnership to Student Experience.
Compensation
HEW 8 – Base range - $117,579.27 - $132,273.33 + 17% superannuation. Full package range - $137,567.74 - $154,759.79.
Responsibilities
Lead the end-to-end analytical design and delivery of student equity and experience evaluations, from the development of evaluation questions and outcome measures through to statistical analysis, interpretation, reporting, and recommendations.
Apply advanced statistical and analytical methods—using R, Python, SQL, or other appropriate tools—to analyze longitudinal, hierarchical, observational, and linked institutional data.
Provide senior methodological advice on evaluation design, comparison groups, counterfactuals, sampling, statistical power, model selection, assumptions, missing data, clustering, bias, sensitivity analysis, and the appropriate interpretation of causal and non-causal findings.
Evaluate the reach, implementation, outcomes, and impact of student initiatives, including whether programs are reaching intended cohorts, how outcomes vary between student groups, and how the timing, intensity, sequencing, or combination of supports may influence student outcomes.
Use independent professional judgment to select and adapt analytical approaches for complex or previously undefined problems, clearly documenting limitations, uncertainty, evidence strength, and conditions affecting interpretation.
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