{"id":3945146,"url":"https://alion.io/job/be-different-recruitment-data-architect-databricks-data-modelling-essential-2","title":"Data Architect (databricks / data modelling essential)","company":{"id":4497741,"name":"Be Different Recruitment","domain":null,"url":"https://alion.io/company/be-different-recruitment","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sandton, South 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implementation of cloud-native data architectures using medallion and modern data lake architectures, integrating services such as Azure SQL, Synapse, Cosmos DB, Data Lake, Databricks, PySpark Notebooks, Power BI and Dataverse. \n\nThe role will also drive innovation in data analytics, automation, and application development, while fostering collaboration across IT, business and governance teams.\nDuties & Responsibilities\nThe following is required to be considered for this position:\n\nBCom or BSc degree or equivalent in IT | Business qualification\n\nMinimum 7 years of experience in enterprise-level data architecture, solution design and modeling of insurance-based data technologies\n\nProven ability to lead large-scale data platform implementations across hybrid and cloud environments\n\nExpertise in designing scalable, secure and cost-effective data architectures in the cloud aligned with business and regulatory requirements\n\nExtensive hands-on experience with:\n\nAzure SQL Database, Azure Synapse Analytics, Azure Cosmos DB\n\nAzure Blob Storage, Azure Data Lake Storage\n\nAzure Data Factory, Azure Stream Analytics\n\nAzure Analysis Services, Azure Machine Learning\n\nStrong understanding of Azure-native data integration, transformation and analytical capabilities\n\nData Modeling and Semantic Layer Design:\n\nProficient in conceptual, logical and physical data modeling using tools like Visio, Azure Synapse, Power BI and Databricks\n\nExperience designing semantic models for Power BI and Azure Analysis Services to support enterprise-wise reporting\n\nSkilled in dimensional modeling, star/snowflake schemas and metadata management\n\nData Quality and Observability:\n\nImplemented data quality frameworks and observability practices using Azure Monitor, Purview and custom telemetry tools working closely with the Data Architect\n\nExperience with anomaly detection, data validation rules and lineage tracking to ensure trust and transparency\n\nDefined and monitored data SLA’s and KPI’s across business-critical pipelines\n\nMaster Data Management (MDM):\n\nExperience implementing and integrating Master Data Management solutions to ensure consistency of key business entities across systems\n\nDefined governance models and stewardship processes for managing golden records, resolving data conflicts, data retention working closely with the Data Centre of Excellence\n\nWorked with Microsoft Purview and other MDM tools to support data cataloging, lineage and reference data management\n\nBusiness Intelligence & Automation:\n\nProficiency in Power BI, Power Apps, Power Automate, and Microsoft 365 tools\n\nExperience designing interactive dashboards and automating business workflows\n\nCloud Security & Governance:\n\nFamiliarity with Azure Security Center, Azure Monitor, Azure Policy and Azure Backup\n\nExperience implementing security best practices and compliance frameworks (POPIA, GDPR)\n\nHands-on experience with Microsoft Purview and/or other data governance tools\n\nDevOps & Infrastructure as Code:\n\nExperience with Azure DevOps, CI/CD pipelines, Terraform, and Machine Learning Ops\n\nAbility to manage infrastructure and deployments using automated tooling and IaC principles\n\nCross-Functional Collaboration:\n\nDemonstrated success working with enterprise solutions architect, data engineers, analysts, developers, and business stakeholders.\n\nExperience participating in architecture forums, steering committees, and governance bodies.\n\n5+ years domain knowledge in Insurance (Short Term / Life / Microinsurance / Health Insurance)\n\nExperience in aligning data strategies with regulatory and operational needs in the insurance sector\n\nDuties & Responsibilities\n\nArchitect Scalable Data Platforms:\n\nDesign and implement enterprise-grade data architectures using Microsoft Azure technologies including Azure SQL, Synapse, Cosmos DB, Data Lake, Databricks, PySpark Notebooks and Dataverse\n\nEnsure platforms are secure, resilient and optimized for performance and cost\n\nEstablish scalable data modeling practices, including conceptual, logical and physical models aligned with business domains\n\nLead Data Modernization Initiatives:\n\nDrive the transformation of legacy systems into cloud-native solutions from a data technology perspective\n\nPromote the adoption of modern data services and analytics tools across the organization\n\nOversee migration strategies, including schema conversions, data mapping and validation processes\n\nGovern Data Lifecycle and Compliance:\n\nDefine and enforce standards for data sourcing, structuring, validation, storage and security, working closely with the Data Centre of Excellence\n\nEnsure compliance with POPIA, GDPR and internal governance frameworks\n\nAssist the business data architect with implementation of metadata management, data cataloging and sensitive data tracking initiatives\n\nSupport discoverability and lineage tracking\n\nEnable Business Intelligence and Analytics:\n\nIntegrate tools such as Power BI, Azure Analysis Services and Azure Machine Learning to support decision-making, enabling the Data Teams in the Planning Units of the business\n\nCollaborate with business units to deliver actionable insights through data visualization and predictive modeling\n\nSupport semantic modeling and KPI definitions to ensure consistent reporting across data teams\n\nSupport Application Development and Integration:\n\nProvide architectural guidance for .NET-based applications and data-driven solutions working with the Enterprise Solutions Architect\n\nEnable seamless integration across Microsoft 365, Power Platform, Dynamics 365 and SharePoint / Teams\n\nEnsure data contracts are well-defined for interoperability and reuse\n\nChampion Automation and DevOps Practices:\n\nImplement CI/CD pipelines, infrastructure-as-code (Terraform) and automated data workflows using Azure Data Factory and Power Automate\n\nPromote DevOps culture and tooling across data engineering teams\n\nMonitor and optimize ETL pipelines, ensuring observability, reliability and scalability\n\nCollaborate Across Teams and Stakeholders:\n\nWork closely with enterprise solutions architect, data architect, data engineers, developers, analysts and business teams to align technology with strategic goals\n\nRepresent the business in architecture forums, steering committees and cloud governance bodies from a data technologies perspective\n\nFacilitate cross-functional data governance and stewardship initiatives\n\nMentor and Develop Talent:\n\nGuide junior architects and engineers in best practices and certification pathways\n\nFoster a culture of continuous learning and innovation within the data technology space\n\nEncourage hands-on experience with data modeling tools, ETL frameworks and Azure services\n\nEnsure Data Quality Management and Observability:\n\nDefine and implement data quality frameworks to monitor accuracy, completeness, consistency and timeliness across data assets working closely with the Data Architect\n\nImplement observability tools such as Azure Log Analytics, Application Insights, Purview to track data lineage, usage patterns and health\n\nInformation displayed above not limited to advertisement.\n\nPlease consider your application as unsuccessful if you have not received a response within 14 days of submitting your application.\nPackage & Remuneration\nplus Benefits: Medical Aid, Performance Bonus, Provident Fund\nSalary is confidential","description_format":"text","description_chars":7819,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Health 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