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 .
Apply
If you are passionate about designing the future of data and AI platforms, please submit your CV via the apply button.
For specific queries, contact Shauna Maguire.
For an interactive insight into life at KPMG, make sure to follow #KPMGLife on social media You can find us on LinkedIn, Instagram, TikTok and Twitter.
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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.
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