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Principal Architect - Data Strategy & Governance

Codec Systems GmbH

Dublin

On-site

EUR 80,000 - 120,000

Part time

30+ days ago

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Job summary

A technology consultancy in Dublin is seeking a Principal Architect specializing in Data Strategy & Governance. This role will lead consulting engagements, develop data governance frameworks, and act as a technical authority during the presales cycle for large-scale data projects. The ideal candidate will have significant experience in data strategy, exceptional communication skills, and expertise in the Microsoft Azure data platform.

Qualifications

  • Proven experience in a senior leadership role such as Principal Consultant or Data Architect.
  • Extensive experience in developing enterprise-wide data governance frameworks.
  • Demonstrable experience in data-centric consulting.
  • Significant experience in presales activities for large-scale data projects.
  • Strong understanding of data management and regulatory compliance.

Responsibilities

  • Lead consulting engagements to design and deliver data strategies.
  • Define and implement scalable data governance frameworks.
  • Act as the lead technical authority during presales.
  • Design and document end-to-end technical architectures for data platforms.
  • Develop and lead training programs to foster a data-driven culture.

Skills

Client-facing leadership
Enterprise-wide data strategies
Data-centric consulting
Presales activities
Data architecture understanding
Stakeholder management
Communication skills

Education

Microsoft Certified: Azure Solutions Architect Expert
CDMP
TOGAF

Tools

Microsoft Azure data platform
DAMA
DCAM
Microsoft Fabric
Job description
Principal Architect - Data Strategy & Governance

Department: Azure

Employment Type: Contract / Temp

Location: Dublin

Description

We are seeking a strategic and hands-on Principal Architect to join our Data Analytics practice and lead Data Strategy and Governance engagements. This pivotal role will guide our clients, including large public sector bodies, in defining and executing comprehensive data strategies, shaping how their data is managed, governed, and leveraged to drive significant business outcomes.

You will act as a thought leader and trusted advisor, combining deep expertise in governance frameworks with the technical authority to architect enterprise-scale solutions. This role works in close partnership with the Data Practice Lead, who maintains responsibility for the technical implementation of solutions once they are defined and sold. The ideal candidate will be a superb communicator with a passion for mentoring others and building data-driven cultures within client organisations.

Key Responsibilities

Data Strategy & Envisioning

  • Lead consulting engagements to design and deliver robust data strategies and transformation programmes aligned with client business goals.
  • Build, communicate, and own a clear roadmap for data initiatives, establishing success metrics and tracking progress against KPIs.
  • Facilitate envisioning workshops with senior business owners to translate complex challenges and opportunities into tangible, data-driven use cases and solutions.

Data Governance & Modelling

  • Define and implement scalable, enterprise-wide data governance frameworks, covering data quality, access, compliance, and stewardship.
  • Champion and apply industry best-practice frameworks such as DAMA and DCAM to mature client data management capabilities.
  • Lead engagements on enterprise data modelling and information architecture, guiding clients to establish frameworks that improve data quality and trust.

Technical Architecture & Presales

  • Act as the lead technical authority during the presales cycle for data strategy and platform opportunities, articulating business value and developing compelling proposals.
  • Collaborate with senior architects across our Dynamics 365, Power Platform, Application Development, and Security practices to develop cohesive target architectures and ensure clarity on outcomes for large-scale, multi-cloud bids.
  • Design and document end-to-end technical architectures for modern data platforms, with a primary focus on the Microsoft Azure stack (e.g., Microsoft Fabric, Azure Synapse, Data Factory, Databricks, Power BI).
  • Provide architectural governance and oversight during project inception, ensuring a seamless handover to the Data Analytics Practice Lead for technical execution.

Culture & Leadership

  • Develop and lead training programmes and mentorship initiatives to foster a data-driven culture and upskill teams within client organisations.
  • Communicate strategy, progress, and value effectively to diverse stakeholders, from C-level executives to technical delivery teams.
  • Stay at the forefront of emerging trends in the data and AI landscape, driving innovation within our practice and for our clients.
Skills, Knowledge and Expertise

Essential:

  • Proven experience in a senior, client-facing leadership role such as a Principal Consultant, Data Architect, or Head of Data Governance.
  • Extensive experience in developing and implementing enterprise-wide data strategies and governance frameworks.
  • Demonstrable experience in data-centric consulting, including leading strategic workshops and engaging with C-level stakeholders.
  • Significant experience in presales activities for large-scale data projects.
  • Strong understanding of data architecture, data management, and regulatory compliance (e.g., GDPR).
  • Deep expertise in designing solutions using the Microsoft Azure data platform.
  • Excellent communication and stakeholder management skills, with experience designing and delivering training or mentorship programmes.

Desirable:

  • Practical experience with data governance tools and applying frameworks like DAMA or DCAM.
  • Experience with Microsoft Fabric.
  • Industry-recognised certifications in data management or governance (e.g., CDMP, DGSP).
  • Architectural certifications such as Microsoft Certified: Azure Solutions Architect Expert or TOGAF.
  • Knowledge of competing cloud data platforms (e.g., AWS, GCP).
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