Domain hub architect Job at Nicoll Curtin (Luxembourg)

Cloud Infrastructure Solution Architect

As a Cloud Infrastructure Solution Architect, you will be a dedicated specialist...

Location

Australia , South Brisbane

Salary:

Not provided

Flight Centre Brand

Expiration Date

Until further notice

Requirements

7-10 years in IT architecture, with a heavy focus on cloud infrastructure, networking, and security implementation
Deep Azure Expertise: Expert-level knowledge of Azure network design (hub-spoke, DNS resolution, ingress/egress patterns) and platform services (Functions, Container Apps, Cosmos DB)
Identity Mastery: Proven experience with Entra ID, service principal governance, and Key Vault patterns in a complex enterprise environment
Technical Translation Skills: The ability to take a high-level business solution and produce detailed infrastructure diagrams and specifications that engineers can act on without ambiguity
Security Mindset: Practical experience with Tenable or similar vulnerability management tools, and a strong understanding of encryption and infrastructure-level security controls
Hybrid & Cross-Tenant Experience: Specific experience managing connectivity and identity across multiple distinct cloud tenants and legacy on-premise environments
Collaborative Influence: Experience working within an embedded architecture practice, influencing both application architects and engineering leads
Infrastructure as Code (IaC): Familiarity with Terraform, Bicep, or ARM templates to support automated, repeatable patterns
Education & Certification: Bachelor’s degree in Computer Science or IT. Relevant certifications (e.g., Azure Solutions Architect Expert, AZ-700 Network Engineer, or TOGAF) are highly regarded

Job Responsibility

Design Cross-Tenant Connectivity: Lead the architectural design for networking between global tenants (including UK, EU, and partner networks), managing hub-spoke topologies, VNet peering, and private endpoints
Translate Architecture to Engineering: Work alongside Domain SAs to own the infrastructure layer of solution designs. You will translate logical architectures into engineer-ready specs, including topology diagrams, deployment architectures, and NFRs
Architect Identity & Access: Design "identity-in-from-the-start" solutions using Entra ID (formerly Azure AD), managed identities, RBAC, and conditional access policies
Security-by-Design: Apply Zero Trust principles and threat modelling at the infrastructure layer, ensuring all designs align with security policies while enabling rapid delivery
Govern Environment Patterns: Define and maintain standard Azure environment patterns, landing zone templates, and resource tagging conventions to ensure engineering consistency
Legacy Infrastructure Assessment: Evaluate the infrastructure dependencies of critical legacy systems, identifying risks and defining technical requirements for modernisation or migration
Delivery Shepherding & Scoping: Act as a technical conduit for delivery partners, pre-consulting on infrastructure tickets to ensure they are correctly scoped and reducing rework
Practice Integration: Participate in Design Authority and review gates, ensuring infrastructure design input is captured before build commences
Cost & Operational Optimisation: Design for supportability and efficiency, assessing the run-cost implications of Azure service choices (e.g., Service Bus vs Event Grid) and infrastructure sizing

What we offer

Inclusive company with team culture
Great Place To Work® certified
Equal Opportunity Employer
Individualised Learning & Development pathway options
Access to 'LinkedIn Learning' for ongoing skills development
Exclusive Staff Discounts via employee-only portal with 350+ Australia retailers
Health and wellness discounts
Financial planning advice
Employee share plan
Travel Discounts for family and friends

Fulltime

Data Engineer Lead (OT Data)

Data Engineer (OT Data) (Category - Engineer) Sector: Oil and Gas Location: Doha...

Location

Qatar , Doha

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Bachelor's in engineering, Information Systems, or a related quantitative field
5+ years of proven experience in a data engineering role
Experience within oil and gas industry is highly preferred
Demonstrable experience building and operationalizing large-scale data pipelines and applications

Job Responsibility

Architect & Build Data Pipelines: Design, construct, install, test, and maintain highly scalable data management systems and ETL/ELT pipelines
Integrate Diverse Data Sources: Develop processes to ingest and integrate high-volume, high-velocity data from SCADA systems, historians (like OSIsoft PI, Aspen InfoPlus.21), DCS, PLC, and IoT sensors
Cloud Data Platform Development: Implement and manage data solutions on the Microsoft Azure cloud platform, Leveraging services like Azure IoT Hub, Azure Event Hubs, and Azure Stream Analytics for real-time ingestion and processing of operational technology (OT) data
Data Modelling & Warehousing: Design and implement data models optimized for time-series data from industrial assets, supporting operational dashboards and real-time analytics
Enable Advanced AI: Build the data infrastructure to support AI/ML models for predictive maintenance, operational anomaly detection, and process optimization using real-time OT data
Champion Master Data Management (MDM): Design and implement MDM strategies and solutions to create a single, authoritative source of truth for critical data domains such as wells, equipment, and assets, ensuring data consistency across the enterprise
Ensure Data Quality & Governance: Implement robust data quality checks, validation rules, and monitoring to ensure the accuracy, consistency, and reliability of our data. Adhere to and help shape our data governance policies
Embrace Industry Standards: Champion and implement industry-specific data standards and models, such as the OSDU™ Data Platform, to ensure interoperability and a unified data view across the upstream lifecycle
Collaborate & Innovate: Work closely with a cross-functional team of geoscientists, drilling engineers, data scientists, and business analysts to understand their data needs and deliver effective solutions
Automate & Optimize: Identify opportunities for process automation and infrastructure optimization to improve data delivery, scalability, and cost-effectiveness

Fulltime

Director, Solution Architect, Digital Assets & Tokenized Payments

Purpose of the role: To design, develop, and implement solutions to complex busi...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Define and lead the end-to-end architecture strategy for Digital Assets and Tokenized Payments, covering business, application, data, integration, control, security, and operational architecture across the broader payments ecosystem
Bring deep domain expertise in payments, including cross-border payments, domestic payments, real-time payments, payment hubs, payment engines, orchestration layers, clearing and settlement models, and associated payment lifecycle controls
Operate at the intersection of traditional payments and digital asset infrastructure, with the ability to design architectures that bridge DLT/blockchain-based ecosystems with existing bank payment platforms, core systems, channels, compliance controls, and client servicing journeys
Demonstrate strong understanding of the broader digital asset ecosystem, including blockchain/DLT concepts, tokenized deposits, stablecoins, wallets, custody, smart contracts, on-chain/off-chain integration patterns, settlement models, and emerging market infrastructure relevant to enterprise banking and payments
Assess and articulate the end-to-end impact of onboarding traditional payment journeys onto tokenized or DLT-based infrastructure, including implications across DDA integration, account servicing, client onboarding, billing, reconciliation, liquidity, compliance, controls, operations, support, and risk management
Shape target-state solution architecture aligned to business outcomes and client experience, ensuring that digital asset and tokenized payment capabilities are designed not as isolated technology components, but as part of an integrated end-to-end client journey and enterprise operating model
Engage credibly with CxO-level stakeholders, senior business leaders, product teams, operations, risk, compliance, legal, and engineering teams to explain complex architecture decisions in clear business language, influence strategic direction, and secure alignment on investment and execution priorities
Lead architecture discussions with industry partners, market infrastructures, fintechs, vendors, and internal platform teams, evaluating solution options, integration models, control boundaries, scalability, resiliency, and fit for enterprise adoption
Provide architectural leadership on solution options, trade-offs, and decision-making, balancing innovation, regulatory considerations, security, operational readiness, client needs, cost, time-to-market, and long-term strategic architecture principles
Educate and influence stakeholders across business and technology on the practical implications of digital asset adoption in payments, including how tokenized payment models affect existing processes, control frameworks, operating models, product constructs, and client propositions

Job Responsibility

Define and lead the end-to-end architecture strategy for Digital Assets and Tokenized Payments, covering business, application, data, integration, control, security, and operational architecture across the broader payments ecosystem
Bring deep domain expertise in payments, including cross-border payments, domestic payments, real-time payments, payment hubs, payment engines, orchestration layers, clearing and settlement models, and associated payment lifecycle controls
Operate at the intersection of traditional payments and digital asset infrastructure, with the ability to design architectures that bridge DLT/blockchain-based ecosystems with existing bank payment platforms, core systems, channels, compliance controls, and client servicing journeys
Demonstrate strong understanding of the broader digital asset ecosystem, including blockchain/DLT concepts, tokenized deposits, stablecoins, wallets, custody, smart contracts, on-chain/off-chain integration patterns, settlement models, and emerging market infrastructure relevant to enterprise banking and payments
Assess and articulate the end-to-end impact of onboarding traditional payment journeys onto tokenized or DLT-based infrastructure, including implications across DDA integration, account servicing, client onboarding, billing, reconciliation, liquidity, compliance, controls, operations, support, and risk management
Shape target-state solution architecture aligned to business outcomes and client experience, ensuring that digital asset and tokenized payment capabilities are designed not as isolated technology components, but as part of an integrated end-to-end client journey and enterprise operating model
Engage credibly with CxO-level stakeholders, senior business leaders, product teams, operations, risk, compliance, legal, and engineering teams to explain complex architecture decisions in clear business language, influence strategic direction, and secure alignment on investment and execution priorities
Lead architecture discussions with industry partners, market infrastructures, fintechs, vendors, and internal platform teams, evaluating solution options, integration models, control boundaries, scalability, resiliency, and fit for enterprise adoption
Provide architectural leadership on solution options, trade-offs, and decision-making, balancing innovation, regulatory considerations, security, operational readiness, client needs, cost, time-to-market, and long-term strategic architecture principles
Educate and influence stakeholders across business and technology on the practical implications of digital asset adoption in payments, including how tokenized payment models affect existing processes, control frameworks, operating models, product constructs, and client propositions

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

Applied Research - Forward-Deployed

Prime Intellect builds the infrastructure that frontier AI labs build internally...

Location

United States , San Francisco

Salary:

150000.00 - 300000.00 USD / Year

Prime Intellect

Expiration Date

Until further notice

Requirements

Deep hands-on experience building, evaluating, or deploying LLM-based agents in the past 1–2 years
Strong intuition for evaluation design
Working understanding of RL and post-training concepts (GRPO, RLHF, reward modeling, SFT)
Strong Python skills and comfort with the modern AI stack (Hugging Face, inference engines, agent frameworks)
Experience in a customer-facing or consulting-adjacent technical role, or as a technical founder
Excellent written and verbal communication
High agency and comfort with ambiguity

Job Responsibility

Embed directly with strategic customers to understand their agent architectures, failure modes, and product goals
Design and build custom RL environments, evaluation harnesses, and verifiers that capture what 'good' looks like for each customer's domain
Architect agent scaffolding — tool use, multi-step reasoning, memory, sandbox execution — tailored to customer workflows
Configure and launch training runs on Lab, iterating on reward functions, rollout strategies, and evaluation criteria
Serve as the technical lead for engagements end-to-end: from discovery through deployed, improved models
Identify repeatable patterns from customer engagements and codify them into reference implementations, templates, and documentation
Serve as the voice of the customer internally, shaping the roadmap for Lab, verifiers, the Environments Hub, and training infrastructure
Build high-quality examples and 'recipes' that make it easy for new customers and open-source contributors to extend the stack
Contribute to technical content (blog posts, tutorials, case studies) that demonstrates real-world platform usage
Develop novel evaluation methodologies for agentic behavior — multi-step reasoning, tool use correctness, recovery from failure, long-horizon task completion

What we offer

Cash Compensation Range of $150-300k + equity incentives
Flexible Work (San Francisco or hybrid-remote)
Visa Sponsorship & relocation support
Professional Development budget
Team Off-sites & conference attendance

Fulltime

Data Architect

As a Data Architect, you are passionate about experience innovation and eager to...

Location

India , Bengaluru

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or equivalent professional experience
10+ years of progressive experience in data architecture, data platform engineering, or enterprise BI/analytics roles
Demonstrable experience as a lead data architect on at least two large-scale enterprise data platform programmes
3NF — operational and transactional layer design
Dimensional modelling — Kimball star/snowflake, slowly changing dimensions
Data Vault 2.0 — hubs, links, satellites, business keys
Data mesh & domain-oriented data product design
Architecture Decision Records (ADRs) and C4 modelling
Data contract design — schema, SLAs, versioning
Data catalogue & metadata management design

Job Responsibility

Define and document the end-to-end target-state data architecture for enterprise client programmes — covering ingestion, storage, transformation, serving, and consumption layers
Establish domain-driven data architecture boundaries aligned to business domains (e.g. Product, Customer, Order, Finance) using Domain-Driven Design (DDD) principles
Lead architecture design sessions with clients to align on technology choices, topology, and migration sequencing
Produce architecture artefacts to a consultancy standard: C4 diagrams, data flow diagrams, architecture decision records (ADRs), and technology selection rationale documents
Evaluate and recommend GCP-native vs. third-party component trade-offs — with clear cost, scalability, and maintainability justification
Define and enforce enterprise data modelling standards across the programme — covering 3NF (operational layer), dimensional modelling (Kimball star/snowflake for analytics), and Data Vault 2.0 (historized, auditable Lakehouse layers) as appropriate
Establish canonical data models for core business domains — ensuring consistency across squads and brands or business units
Design and govern the metadata framework: schema standards, naming conventions, entity definitions, data dictionaries, and lineage documentation
Oversee data contract design between producing and consuming domains — defining SLAs, schemas, versioning, and change management protocols
Ensure models are optimized for the target query engine — BigQuery partitioning/clustering strategies, Delta Lake Z-ordering, and Databricks Photon engine considerations

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Fulltime

Python Full Stack Data Engineer - Assistant Vice President

We are assembling an A-team of highly skilled, autonomous, and AI-first engineer...

Location

Canada , Mississauga

Salary:

94300.00 - 141500.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Experience: 4+ years of progressive, hands-on experience as a Data Engineer, with a proven track record of delivering complex, large-scale data solutions
Expert-level proficiency in Python, with deep expertise in developing highly optimized, scalable, and production-grade PySpark applications for mission-critical data processing
Deep understanding and extensive hands-on experience with the entire Apache Spark ecosystem (Spark Core, Spark SQL, Spark Streaming)
Advanced proficiency with Hive for enterprise data warehousing, including optimization techniques for large and complex queries
Expert knowledge of distributed computing fundamentals, HDFS, and other components of the Hadoop ecosystem
Proficiency in SQL, complex query optimization, and advanced data warehousing concepts (e.g., dimensional modeling, data vault, data lakes)
Extensive experience with various data storage formats (e.g., Parquet, ORC, Avro) and leading data lake solutions (e.g., Delta Lake, Iceberg)
Proven experience with enterprise-grade NoSQL databases (e.g., Cassandra, MongoDB, HBase) and understanding of their architectural trade-offs
Expert-level experience with Apache Kafka, including design and implementation of high-throughput, low-latency real-time data pipelines and event-driven architectures
Extensive experience with big data services on major cloud platforms (e.g., AWS EMR/Glue/Redshift/Kinesis, Azure Databricks/Data Factory/Synapse/Event Hubs, GCP Dataflow/Dataproc/BigQuery/Pub/Sub), including cloud-native architectural patterns

Job Responsibility

Operate end-to-end in the design, development, and implementation of full-stack data solutions, ensuring optimal performance, scalability, data quality, security, and compliance across the data lifecycle
Collaborate closely within small, co-located squads (4-7 person teams), fostering an environment of high communication and minimal coordination overhead, to deliver impactful data products
Develop, maintain, and optimize highly efficient and resilient data ingestion, processing, and transformation pipelines using advanced Python and PySpark techniques for large-scale datasets
Implement sophisticated data storage solutions leveraging a diverse set of big data technologies including Hive, distributed file systems (e.g., HDFS, S3), and enterprise-grade NoSQL databases (e.g., Cassandra, MongoDB)
Design and implement scalable data models and schemas that support advanced analytics, machine learning, and critical reporting needs, ensuring data integrity, accessibility, and discoverability
Engage effectively with data consumers, data scientists, and business stakeholders to deeply understand their requirements, translating them into robust data solutions and providing expert guidance on data utilization and interpretation
Implement real-time data streaming and complex event-driven architectures using technologies like Apache Kafka, ensuring low-latency data availability for critical business functions
Adhere to and contribute to best practices in data engineering and software development, participating in rigorous code reviews, implementing comprehensive automated testing strategies, and supporting robust CI/CD pipelines within a DevOps culture
Exhibit High Autonomy and Agency, taking ownership of technical challenges, making well-reasoned architectural decisions, and proactively identifying and implementing continuous improvements across the data landscape
Innovate with AI-Powered Development, actively leveraging, integrating, and contributing to AI coding tools (e.g., internal Citi AI tools, Copilot, Claude Code, Codex, Antigravity) to significantly enhance productivity, code quality, and development velocity, and inspiring others to do the same

Fulltime

Snowflake Data Cloud Architect

As a Snowflake Data Cloud Architect, you will be responsible for designing and i...

Location

United States , New York

Salary:

158700.00 - 198370.00 USD / Year

Voya Financial

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, MIS, Engineering, or related field
10+ years of experience in data architecture/engineering, with 3+ years focused on Snowflake
Strong background in financial data domains (IBOR/ABOR, transactions, market data, reference data)
Hands-on experience with Snowflake architecture (warehouses, streams, tasks, Snowpark)
SQL, Python
experience with DBT
Event-driven technologies (Kafka / Azure Event Hub)
Web API development (Flask / FastAPI)
Experience implementing data security measures and compliance frameworks
Experience building data solutions with AI tools like Github Copilot

Job Responsibility

Architect and Implement Snowflake Solutions
Enable Event-Driven Integration
Data Governance and Compliance
Technical Leadership
Innovation and Best Practices

What we offer

Health, dental, vision and life insurance plans
401(k) Savings plan – with generous company matching contributions (up to 6%)
Voya Retirement Plan – employer paid cash balance retirement plan (4%)
Tuition reimbursement up to $5,250/year
Paid time off – including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day
Paid volunteer time — 40 hours per calendar year

Fulltime

Senior Solution Engineer (Innovation Hub - AI Workforce)

Microsoft Innovation Hub empowers customers to overcome their business challenge...

Location

Singapore , Singapore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

8+ years of technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 8+ years of experience OR equivalent experience
Enterprise Architect Experience: Proven experience as an Enterprise Architect, designing and implementing large-scale, complex solutions that align with business goals and technical requirements
Consultative Selling: Proven experience in a consultancy role, providing expert guidance and strategic recommendations to customers
Strategic & Structured Facilitator: Validated customer experience in requirements capture
prioritization
capturing evidence and impact to quantify business value
issue, risk and constraint identification with a focus on strategic goals and outcomes
AI Solution Design Experience: Expertise in designing architectures, building, and deploying AI solutions with Microsoft 365, primarly Microsoft Copilot
Experience with cloud and hybrid infrastructures, adjacent technologies, architecture designs, migrations, and industry standards
Understanding of AI related Azure services

Job Responsibility

Delivering customer engagements: Prepare and deliver technical engagements including strategy sessions, envisioning workshops, architecture design sessions and rapid prototyping to demonstrate key capabilities, validate against identified risks and finalize technology choices
AI Transformation Leadership: Be the trusted voice within the business and for customers on the latest AI platform and technology trends, guiding their transformation journeys
Strategic Vision and Planning: Own and execute a clear strategic vision for AI transformation initiatives on a set of targeted accounts, aligning with organizational goals and customer needs by collaborating and orchestrating cross-functional teams
Solution Design and Architecture: Develop comprehensive solution architectures based on patterns and practices that are tied to customer requirements and ensure that solutions are scalable, secure and optimized for performance
Cross Platform Collaboration: Adopt a holistic approach to integrate capabilities across the entire cloud platform, identifying synergies and optimizing cross-platform integration
Technical Depth: Maintain and grow expertise in creating business value on top of the business applications including sales, services and marketing and Microsoft 365 platform, including deep knowledge of Microsoft Copilot to support AI transformation initiatives
Technical Sales and Sales Leadership: Act as a strategic change agent within the business to shape Microsoft's programs and engineering offerings

Fulltime

Select Country

Domain hub architect

Job Description

Job Responsibility

Requirements

Looking for more opportunities?