Data Architect

X, bigly labs

. Advise, design, and manage data architectures and their evolution to support strategic insights, decision-making, advanced analytics, and AI initiatives.

Posted 10/20/2026full-timeJohannesburg • South AfricaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and managing data architectures that support advanced analytics and AI initiatives, utilizing TOGAF and DAMA principles. Proven ability to collaborate across teams to ensure data solutions align with business strategies and compliance standards.

Highest-signal resume keywords

Data Architecture DesignTOGAF 10 CertificationDAMA Principles ApplicationCloud Platform CertificationData Governance Expertise

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data EngineeringData ModellingMetadata ManagementData GovernanceBig Data EnvironmentsAPIsETL/ELTStreaming TechnologiesData Flows DesignInteroperability Standards

Soft Skills

CollaborationDecision-MakingInfluencingOwnershipNavigating Ambiguity

Tools & Technologies

Azure SynapseAWS RedshiftGCP BigQuerySAP Business Data CloudDataBricksSnowflakeAirflow

Certifications & Qualifications

AWS Certified Data Engineer - AssociateAzure Data EngineerDatabricks Certified Data EngineerDAMA-DMBOK CertificationAzure AI Engineer AssociateAWS Machine Learning Specialty

Industry Keywords

Healthcare Data EcosystemsRetail Data EcosystemsInsurance Data EcosystemsData Privacy RegulationsCompliance Frameworks

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureBigQueryCloudDistributed SystemsETLGoogle Cloud Platform

About the role

Key responsibilities & impact

Advise, design, and manage data architectures and their evolution to support strategic insights, decision-making, advanced analytics, and AI initiatives.
Apply TOGAF and DAMA-DMBOK principles to establish and implement modern, robust, secure, and fit-for-purpose data architectures and solution designs.
Provide architectural input into scalable data platform development and enable digital capabilities across the organisation.
Design enterprise-wide data architecture using DAMA principles and modern design patterns.
Collaborate with engineers and modellers to ensure platforms support analytics, ML, and AI use cases.
Define data flows, interfaces, and interoperability standards for integration of new solutions into the data ecosystem.
Collaborate with business and technical teams through solution design sessions, architecture reviews, and workshops.
Document architecture decisions, data flows, and standards using version-controlled repositories and collaborative platforms.

Requirements

What you’ll need

Bachelor’s degree: Computer Science, Information Systems, Data Engineering, or related field.
6+ years of experience in data architecture, data engineering, or enterprise data management.
Certification in cloud platform: AWS Certified Data Engineer - Associate (DEA-C01), Azure Data Engineer (DP-203/DP-700), or Databricks Certified Data Engineer.
Certification or Strong Working Knowledge in TOGAF 10 architecture framework.
Proven experience designing and governing enterprise data architecture and applying DAMA principles.
Demonstrated ability to implement modern architectural design and principles in big data environments.
Experience contributing to or guiding application/system development, procurement, and integration in data ecosystems.
Strong background in contributing to scalable data platforms that support data science and AI workloads.
Deep understanding of data modelling, metadata management, data governance, and distributed systems.
Experience with cloud-native data services (e.g., Azure Synapse, AWS Redshift, GCP BigQuery).
Familiarity with cloud-native data integration tools (e.g., SAP Business Data Cloud, DataBricks, Snowflake Airflow).
Familiarity with data privacy regulations (e.g., POPIA, GDPR) and compliance frameworks.
Certification in DAMA-DMBOK (e.g., CDMP – Certified Data Management Professional).
Certification in Azure AI Engineer Associate, AWS Machine Learning Specialty.
Experience in healthcare, retail, or insurance data ecosystems.
Ability to design and maintain scalable, secure, and flexible data architectures aligned with business strategy and IT standards.
Strong capability in designing data flows and integration patterns across heterogeneous systems using APIs, ETL/ELT, and streaming technologies.
Takes ownership of architectural decisions, their outcomes and align with enterprise architecture and business expectations.
Build technical consensus and influence decision-making across business, IT, and data teams.
Ensures that data architecture aligns with application, infrastructure, and security architectures.
Navigate ambiguity with confidence and composure.