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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Client Technology Delivery Lead

Trinity Life Sciences · Posted Nov 2, 2026

Open

Waltham, Massachusetts, United States
$180K–$248K per year
15+ years

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Lead client delivery for complex technology and AI programs, translating strategy into action through standardized, scalable implementation frameworks.

Compensation

A reasonable estimate of the current salary range is $180,000 - $247,500. In addition to your base salary, you will also be eligible for an annual discretionary performance bonus.

Responsibilities

Lead end-to-end delivery of complex TrinityEDGE deployments and AI-enabled solutions for priority US and global clients, from design through stabilization, ensuring quality, timelines, and value realization.
Translate client strategies and commercial objectives into technical roadmaps, solution architectures, and phased implementation plans incorporating AI-driven components where relevant (e.g., RAG, predictive analytics, intelligent automation).
Partner with the Head of Client Tech to institutionalize best practices in deployment, customization, and post-launch operations.
Support sales leaders in RFP responses/pitches and confidently articulate our value driven delivery strategy.
Direct and mentor Technology Program Managers to strengthen solution design, architecture governance, and delivery consistency.

Skills

technology consulting solution delivery client-facing leadership

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

Manager – Data & AI Advisory Austria

Avanade · Posted Oct 8, 2026

Open

Vienna, Vienna, Austria
Manager

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Lead strategic engagements in data and AI advisory, shaping data-driven transformation strategies and connecting advanced analytics and AI capabilities to measurable business outcomes.

Responsibilities

Identify client challenges and shape pragmatic data & AI solutions that deliver clear business impact
Guide senior stakeholders in defining data strategy, data management, and AI roadmaps aligned with business goals
Bridge advisory and technology by understanding data/AI architectures and partnering with technical experts to design future‑ready solutions
Advise on data governance, AI governance, and responsible AI to ensure trust and compliance
Build and enhance advisory methodologies, services, and accelerators for data & AI engagements

Requirements

University degree in Data Science, Computer Science, Business, or related field (or equivalent experience)

Skills

data strategy AI-driven transformation data management analytics AI technologies

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

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