Enterprise Data Architect

Brambles; Województwo mazowieckie; On-site; PLN 300,000 - 540,000; Full time

Job summary

Brambles is seeking an Enterprise Data Architect to define and develop data architecture models across global programs, including Poland, Prague, Manchester and London. You will lead the design of data, metadata and lineage, align with governance policies and drive data quality initiatives across critical processes.

The role requires strong collaboration with business and technology teams, TOGAF familiarity and a track record in delivering scalable information architectures in complex

Qualifications

• Significant experience in enterprise data architecture within a complex global organisation.
• Experience with data modelling across conceptual, logical and physical layers.
• Familiarity with DAMA Data Management framework and data governance principles.

Responsibilities

• Develop and maintain enterprise conceptual, logical and physical data models.
• Define standards for master data, reference data and shared data assets.
• Collaborate with business and technology teams to address data quality issues and design improvements.
• Identify data risks and control weaknesses in source systems and data movement processes.
• Ensure consistent understanding of key data entities and their lifecycle across the enterprise.
• Drive Brambles Data Architecture in collaboration with the business.

Skills

Data modelling

Enterprise data architecture

Data governance

Data quality

TOGAF knowledge

Stakeholder communication

Education

Bachelor's degree in Information Systems

DAMA CDMP

DCAM

Job description

Enterprise Data Architect – Manchester, London, Poland or Prague

Responsible for defining and developing data architecture models and their lower-level components. Contribute to and enable the delivery of Brambles' enterprise data strategy through development of target data architecture, information models and architectural roadmaps.

Develop and maintain enterprise data architecture principles, standards, patterns and reference models. Support the creation of trusted data through effective data architecture, with a focus on understanding how data is created, managed and consumed across critical business processes.

Drive architectural understanding of master data, metadata, data lineage and enterprise data flows to support business decision making and operational effectiveness. Act as the lead data architect on critical programmes, engaging with a range of stakeholders and partnering with the Architecture Community

Measures

• Critical enterprise data flows documented and maintained to support transparency, impact assessment and
• change management.
• Key business data entities, master data domains and associated metadata documented and governed through
• agreed data architecture standards.
• Data architecture supports improved visibility of data quality risks, controls and dependencies across critical
• source systems.
• Reference data information architectures documented and maintained
• Ensure projects and programmes align to the agreed data architecture principles and standards
• Data and information system principles applied and adhered to through technical change

Key Responsibilities

• Develop and maintain enterprise conceptual, logical and physical data models.
• Define architectural standards and patterns for the management of master data, reference data and shared business data assets.
• Partner with business and technology teams to understand the architectural drivers of recurring data quality issues and recommend sustainable design improvements.
• Support the identification of data risks and control weaknesses within source systems and data movement processes.
• Work across technical teams to ensure consistent understanding of key data entities and their lifecycle across the enterprise.
• Drive the development of Brambles Data Architecture in collaboration with the business.
• Documentation of the As-Is data landscape, calling out key risks and recommend mitigations.
• Develop and communicate data architecture standards, information models and classification structures, aligned with enterprise data governance policies and standards.
• Establish priorities and strategies consistent with business goals and economic viability.
• Research options and propose data architecture against technology needs of the organization while including new and emerging technologies.
• Successfully deliver architecture designs across multiple integrated technologies and platforms, in accordance with stage gates, milestones, and business objectives.
• Resolve complex architectural issues spanning business processes, applications, integration platforms and data domains.
• Balance enterprise standardisation with legitimate regional, functional and programme requirements.
• Identify root causes of data inconsistency, duplication and quality issues across complex system landscapes.
• Assess architectural trade-offs involving data quality, interoperability, cost, risk and delivery timescales.
• Influence cross-functional decisions where ownership is distributed across business and technology teams.

Experience Requirements

• 5+ years in a data architecture related role, including:
• Designing and implementing data and information solutions including continuous monitoring and improvements to those solutions.
• Development and design of data management best practices and implementation of data principles across the organisation
• Experience addressing data and information architecture considerations across cloud platforms, integration, data management, analytics and business intelligence.

Qualifications

Essential Qualifications

Significant experience in enterprise data architecture within a complex global organisation.

Desirable Qualifications

TOGAF Foundation or Practitioner

• Bachelor's degree in Information Systems, Computer Science, Engineering or related discipline.
• DAMA CDMP.
• DCAM.

Skills and Knowledge

• Must have experience of defining enterprise data and information models
• Understanding of the DAMA Data Management framework and the relationship between data architecture and wider data management capabilities.
• Working knowledge of data management disciplines including data quality, master data, metadata and data lineage.
• Strong understanding of how data architecture influences the quality, consistency and trustworthiness of enterprise data.
• Ability to translate business data challenges into practical architectural designs, standards and recommendations.
• Experience of managing and maintaining the technology architecture models.
• Proven experience in planning, organizing, and developing information and data architectures and systems.
• Developing and applying data architecture principles, standards, patterns and reference models in alignment with enterprise policies.
• Excellent knowledge of technology environments, including information systems, data architecture and enterprise applications.
• Proven track record in contributing to development of overall enterprise architecture ideally within a TOGAF framework
• Exceptional communication skills with diverse audiences - Strong critical thinking and analytical skills
• Demonstrated ability to identify risks associated with business processes, operations, information systems and technology projects
• Strong leadership and influencing skills, including the ability to drive desired outcomes across multiple business functions.
• The ability to be the enterprise data and information systems subject matter expert who can explain technical topics to those without a technical background.