Data architectures jobs

Data Analytics & Research Support - Investment Banking

Allied Irish Bank · Posted Nov 9, 2026

Open

Dublin, Ireland, Ireland +3 more
Hybrid
Full-time

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Data Analytics & Research Support - Investment Banking

Allied Irish Bank · Posted Nov 9, 2026

Open

Dublin, Ireland, Ireland +3 more
Hybrid
Full-time

Apply with Referso

Customer Success Engineer

skyflow · Posted Nov 9, 2026

Open

5+ years

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Lead technical customer consultation and support, onboarding customers to Skyflow and providing ongoing technical guidance.

Responsibilities

Gain deep technical understanding of Skyflow’s product and integration capabilities to engage with stakeholders in customer organizations
Write basic code samples for customers to reference during implementation
Steward customers through the technical onboarding process
Serve as the initial technical support point of contact for customers during and after implementation
Consistently achieve successful results, even under tough circumstances

Skills

SaaS technology platforms customer-facing roles cloud technologies (AWS, GCP, Azure)API-centric development technologies (OAS, GraphQL, REST, microservices)client-side and server-side SDKs data architectures (databases, NoSQL, ETL, integration)application-level security (AuthN, AuthZ, key management, PBAC, ABAC, RBAC)AI tools and AI-assisted development platforms (copilots, LLMs, workflow automation)Amazon Web Services Google Cloud Platform Microsoft Azure

Benefits

Work-from-home expense (U.S., Canada, and Australia)
Excellent health, dental, and vision insurance options (varies by country)
Vanguard 401(k)
Flexible paid time off (unlimited)
Generous equity

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GenAI & Data Project Manager

KPMG Somekh Chaikin · Posted Nov 9, 2026

Open

תל אביב, Israel, Israel
3+ years

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Lead the delivery of AI and Generative AI-based solutions for clients, managing projects end-to-end from scoping to deployment and continuous improvement.

Responsibilities

Lead the full lifecycle of AI and data projects, from ideation and design through implementation, deployment, and ongoing optimization.
Translate business and user needs into clear system requirements, technical specifications, and structured delivery plans.
Define project scope, priorities, milestones, and deliverables, ensuring execution on time, within scope, and within budget.
Collaborate closely with development, data, and infrastructure teams to support efficient delivery and resolve technical dependencies.
Drive alignment between technical solutions and business objectives, ensuring delivered solutions generate tangible client value.

Requirements

Bachelor’s degree (B.Sc) in Computer Science, Engineering, Information Systems, Data Science, or a related field.
Nice to have: background in AI, machine learning, or advanced analytics projects
Nice to have: experience working in consulting or client-facing delivery roles
Nice to have: familiarity with cloud platforms and modern AI tooling

Skills

data architectures data pipelines

Practice Lead - Data & AI

Architecture in Motion Inc. · Posted Nov 5, 2026

Open

Greater Toronto Area, Ontario, Canada
Full-time · Director
10+ years

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A hands-on leadership position to build and lead a Microsoft-focused Data & AI practice, owning technical direction, delivery quality, team development, and commercial performance.

Responsibilities

Define and execute the Data & AI practice strategy, service portfolio, capability roadmap, and hiring plan.
Partner with business development and Microsoft alliance leadership to build qualified pipeline and win new customers.
Develop repeatable offerings across data modernization, Microsoft Fabric, predictive analytics, AI applications, and managed data services.
Own practice revenue, gross margin, utilization, delivery capacity, and forecasting against agreed targets.
Establish clear differentiation through industry expertise, reusable intellectual property, and demonstrable business outcomes.

Requirements

Nice to have: Dynamics 365
Nice to have: Distribution
Nice to have: Supply chain
Nice to have: Manufacturing
Nice to have: Azure Machine Learning

Skills

Microsoft Fabric Data Science AI engineering SQL

Senior Data Engineer

JYSK · Posted Nov 4, 2026

Open

Aarhus, Midtjylland, Denmark
Hybrid
Full-time · Senior
5+ years

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The Senior Data Engineer will join the AI Engineering team to build data foundations and scalable solutions that turn business opportunities into tangible AI solutions within an international retail environment.

Responsibilities

Design, implement, deploy, and maintain scalable data products across the entire data lifecycle, from data ingestion and transformation to analytics, visualization, and dashboarding.
Design and implement scalable data transformations that integrate seamlessly with existing systems and applications.
Build data products capable of processing structured, semi-structured, and unstructured data to support diverse AI workloads.
Design and implement automated data quality monitoring, validation, and alerting to ensure trusted data products.
Promote and drive adoption of modern data engineering technologies and automation frameworks.

Requirements

Degree in Computer Science
Software Engineering
Mathematics
Physics
related field

Skills

Data engineering Data pipelines Data architectures DataOps

Sr. Technical Program Manager

Lyric Clarity In Motion · Posted Mar 9, 2026

Open

Hyderabad, Telangana, India
Senior
8+ years

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Senior manager of technical programs overseeing cross‑team execution, Agile delivery, and technology oversight for healthcare payment solutions.

Responsibilities

Drive end‑to‑end delivery of large‑scale programs focused on claim validation, pre‑ and post‑pay analysis, audit automation, and payment recovery
Lead Agile ceremonies across multiple scrum teams, facilitate continuous improvement, and ensure predictable delivery cycles
Collaborate with business stakeholders to understand complex payment policies, payer‑provider relationships, coding standards, and integrate this understanding into program planning and execution
Partner with engineering to scope and deliver data‑intensive solutions leveraging rules engines, machine learning models, and claims analytics platforms
Ensure adherence to CMS, HIPAA, and payer‑specific guidelines while managing program risks and mitigating operational bottlenecks

Requirements

Bachelor’s degree in computer science, Engineering, Health Informatics, or a related field (Master’s preferred)
Nice to have: claims lifecycle
Nice to have: payment integrity tools
Nice to have: FWA detection
Nice to have: healthcare reimbursement models

Skills

technical program management

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