Data Architecture Consultant

DAI Consultancy; Doha; On-site; QAR 120,000 - 180,000; Full time

Job summary

DAI Consultancy is seeking a Data Architecture Consultant to translate business needs into secure, implementable data architectures. You will create models, standards and transition designs that connect data across the enterprise while addressing privacy and resilience.

Successful candidates typically have 6–10 years in data architecture or data engineering and hold a Bachelor's degree in a related field. TOGAF/CDMP certifications are preferred.

Qualifications

• Bachelor's degree in computer science, data engineering, information systems or related field.
• 6–10 years in data architecture, data modelling, or data engineering.
• Experience with enterprise architecture, data architecture, information architecture or data modelling.

Responsibilities

• Assess current data sources, stores, flows, interfaces and architecture constraints.
• Develop current-state, target-state and transition-state views.
• Create conceptual, logical and physical data models aligned with business definitions.
• Define data domains, relationships, ownership boundaries and authoritative sources.
• Develop integration, interoperability, API, data exchange and pipeline designs.
• Document architecture decisions, risks and dependencies; support workshops.
• Validate delivered designs and provide knowledge transfer to client teams.

Skills

Data modelling

Architecture methods

Integration & APIs

Stakeholder communication

Modelling precision

Education

Bachelor's degree

Tools

TOGAF

CDMP

Job description

Role Purpose

The Data Architecture Consultant develops client data-architecture recommendations, models, standards and transition designs that connect business needs with secure and implementable technology. The role documents how data is created, organised, integrated, stored, shared and used, and helps clients move from current-state fragmentation to a coherent target architecture.

The consultant works with business experts, governance teams, security specialists, engineers and platform owners to ensure that architecture decisions reflect definitions, quality, ownership, interoperability, privacy, resilience and operational constraints. The role prepares design options and recommendations for client approval and supports implementation teams with traceable specifications. It does not exercise the client's formal architecture authority. Strong candidates combine modelling depth with the ability to explain trade-offs, dependencies and transition steps to non-technical stakeholders.

Key Responsibilities

Assess current data sources, stores, flows, interfaces, platforms, models, standards and architecture constraints. Develop architecture principles and current-state, target-state and transition-state views. Create or review conceptual, logical and physical data models aligned with business definitions and metadata. Define data domains, subject areas, relationships, ownership boundaries and authoritative sources. Develop integration, interoperability, API, exchange and pipeline design recommendations. Incorporate data quality, master-data, metadata, lineage, security, privacy, retention and resilience requirements into designs. Document architecture decisions, options, trade-offs, assumptions, risks and dependencies. Facilitate architecture and modelling workshops with business and technical stakeholders. Review solution and vendor designs against approved principles, requirements and target architecture. Support technical specifications, implementation sequencing and transition-roadmap development. Validate delivered designs and implementation evidence and identify deviations requiring client decision. Provide model walkthroughs, documentation and knowledge transfer to client architecture and delivery teams.

Minimum Requirements

Education

Bachelor's degree in computer science, data engineering, information systems or a related field. An equivalent combination of relevant education and directly applicable consulting or implementation experience may be considered.

Professional Experience

Typically 6-10 years in data architecture, data modeling, solution architecture or data engineering. Experience in enterprise architecture, data architecture, information architecture or data modelling. Experience developing current-state and target-state designs and supporting implementation roadmaps. Experience working with integration, data platforms, metadata, quality and security requirements. Experience presenting architecture options to business and technology stakeholders.

Technical and Domain Knowledge

Data-architecture principles, viewpoints and governance. Conceptual, logical and physical data modelling. Data domains, authoritative sources and ownership boundaries. Integration, APIs, data exchange, pipelines and interoperability. Metadata, lineage, cataloguing and model traceability. Data quality and master/reference-data architecture. Security, privacy, classification, retention and resilience by design. Cloud, on-premises and hybrid platform patterns.

Core Competencies

Data modeling. Architecture methods. Integration and APIs. Database and platform design. Security-by-design. Stakeholder communication. Conceptual thinking. Modelling precision. Systems analysis. Design communication. Running architecture discovery and modelling workshops. Translating business requirements into traceable technical designs. Explaining technical trade-offs to non-technical stakeholders. Producing clear diagrams, specifications and decision records. Reviewing solution evidence and challenging unsupported design assumptions. Working effectively with vendors and multidisciplinary teams. Supporting formal client architecture decisions without assuming approval authority.

Preferred Certifications

TOGAF Enterprise Architecture Practitioner CDMP Practitioner with Data Modeling and Design specialty

Focus areas

Data modeling Architecture methods Integration and APIs