Data Solution Architect Associate Director

Data Solution Architect Associate Director

Basic Information

Location

: Dublin

Business Area

: Consulting

Description and Requirements

When you join KPMG Ireland, you are joining a community of over 4,200 employees who collectively work together, both in person and virtually, to achieve their full potential.

We are known as an organisation that encourages you to come as you are and do work that truly matters.

Joining KPMG Ireland is an opportunity to enhance your career, not only through the work you enjoy, but also through the global connections you make, the lifelong learning you accomplish, and the chance to make your mark.

Are you our next Data Solution Architect?

We are currently seeking to hire a Data Solution Architect at Associate Director level to join our Dublin Data & AI team.

We are looking for professionals with extensive experience in designing modern, scalable data platforms and cutting-edge analytics & AI solutions, coupled with strong industry experience and exceptional communication skills, who are dedicated to becoming thought leaders in their field.

Location

: Dublin, as part of our hybrid working model.

Grade

: Associate Director

Contract type

: Permanent

Key Qualifications and Experience

We ideally need you to have most of the following on your CV :

7+ years' experience

in designing and implementing modern data, analytics, and AI programs, with a focus on scalable, cloud-native solutions for large, complex organisations.

Expertise in architecting data platforms

, including

data lakes, data lakehouses, data meshes

, and real-time streaming architectures, to support advanced analytics, AI, and business intelligence use cases.

Proven experience

in designing architectures for

structured, semi-structured, and unstructured data

, leveraging technologies like

Databricks, Snowflake, Apache Kafka

, and

Delta Lake

to enable seamless data processing and analytics.

Hands-on experience in data integration

, including designing and optimising

data pipelines

(batch and streaming) and integrating cloud-based platforms (e.g.,

Azure Synapse, AWS Redshift, Google BigQuery

) with legacy systems, ensuring performance and scalability.

Deep knowledge of ETL / ELT processes

, leveraging tools like

Apache Airflow, dbt, or Informatica

, with a focus on ensuring

data quality, lineage, and integrity

across the data lifecycle.

Practical expertise in data and AI governance

, including implementing frameworks for

data privacy, ethical AI

, and compliance with regulations such as

GDPR, EU AI Act

, and

CSRD

, using tools like

Azure Purview, Collibra

, or

OneTrust

Strong experience in data security

, including designing

zero-trust architectures

, encryption protocols, and access controls (e.g.,

RBAC, ABAC

) to secure data platforms and AI models.

Proven track record

in developing technical blueprints for

Generative AI, Large Language Models (LLMs), and advanced analytics platforms

, including MLOps pipelines (e.g.,

MLflow, Kubeflow

) and integration with business workflows.

Experience in aligning data and AI strategies

with business objectives, including designing solutions for

real-time analytics, predictive modelling, intelligent automation

, and

synthetic data generation

for privacy-preserving analytics.

Expertise in integrating AI models

into enterprise systems, leveraging

APIs, containerisation (Docker, Kubernetes)

, and serverless architectures to enable scalable deployment.

Proactive evaluation of emerging technologies

, including

edge AI, federated learning, quantum-inspired data processing

, and

AI-driven data orchestration

, to drive innovation in client solutions.

Curiosity and commitment

to staying ahead of trends in data and AI, such as

data fabric, automated machine learning (AutoML)

, and

low-code / no-code analytics platforms

, with familiarity in vendor ecosystems (e.g.,

Microsoft, AWS, Google, Databricks

).

Exceptional stakeholder management and presentation skills

, with the ability to translate complex data and AI concepts into actionable insights for non-technical audiences, including C-suite executives.

Experience leading cross-functional teams

in delivering data and AI projects, ensuring timely and budget-conscious execution, while mentoring junior team members.

Relevant certifications

, such as

AWS Certified Solutions Architect, Azure Data Engineer Associate, Google Professional Data Engineer, Databricks Certified Data Engineer

, or

TOGAF

, with additional certifications in AI or MLOps being a plus.

Your Responsibilities

Your responsibilities and achievements will evolve as you grow with us.

Initially, you can expect to :

Advise clients on designing and implementing

modern data and AI platforms

that leverage trends like data lakehouses, real-time streaming, and Generative AI to deliver business value.

Define and deliver

data and AI solution architectures

, including operating models that integrate cloud-native, hybrid, and edge-based technologies.

Design and implement

robust data governance and security frameworks

, ensuring compliance with global regulations and fostering trust in AI-driven solutions.

Architect

scalable, high-performance data platforms

and AI solutions, enabling use cases such as real-time decision-making, personalised customer experiences, and automated insights.

Guide clients in transitioning from legacy systems to

cloud-native and hybrid architectures

, optimising data pipelines and AI model deployment for performance and cost-efficiency.

Champion

emerging technologies

, such as AI-driven data orchestration, federated learning, and sustainable AI practices, to position clients at the forefront of innovation.

Lead and mentor technical teams, fostering a culture of innovation, collaboration, and continuous learning.

Your Team

KPMG offers a broad range of

Data & AI services

across a wide range of clients, globally.

Our dedicated Data & AI practice works with clients to deliver services spanning

data operating models, AI governance, data engineering, advanced analytics, Generative AI

, and

business domain expertise

Our team is at the forefront of leveraging modern data platforms and AI to transform industries, from financial services to healthcare, and we are committed to staying ahead of trends such as

data mesh, edge AI, and AI-driven sustainability reporting

Why KPMG?

At KPMG, we don't just invest in your career—we empower you to shape the future of data and AI.

Here's how we support you :

Tailored benefits package

, including discounted health insurance, the option to purchase additional annual leave, and access to frequent social events to build your network.

Flexible work-life balance

, with early finish Fridays on bank holiday weekends and throughout the summer months.

Continuous learning

, with complimentary access to a range of

Learning & Development programmes

, including LinkedIn Learning, and support from our award-winning Business School.

Frequent career progression opportunities

, with promotions announced four times per year—unique among the Big Four.

Inclusive culture

, where diversity, equity, and inclusion are at the heart of everything we do.

Learn more at .

Ready to Join Us?

If you meet most of the criteria, we encourage you to apply by submitting your CV.

KPMG is an equal opportunities employer, welcoming applications from people of all backgrounds.

We are happy to provide reasonable accommodations during the recruitment process if needed.Necessary arrangements can be made at interview stage to accommodate the needs of candidates with disabilities.

For any specific queries about the role, please contact Shauna Maguire.

For a glimpse into life at KPMG, follow #ExperienceKPMG on LinkedIn, Instagram, TikTok, and X.

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Please note we do not require Agency assistance for this role.

By clicking apply to this role your application will not only be considered for this position, but your details will be stored on our database and may be considered for similar future positions that may arise.

This means that the personal data contained in your application and provided to KPMG as part of the application process may be retained by us for up to 18 months from the date of your application and you hereby agree to that.

If you do not wish your details to be stored on our recruitment database, please email

• stating this and we will ensure that such information is not stored other than for the purposes of this application.

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