Roles
Data Architect
Data Architect

Data Architect

Design and implement robust data systems to support organizational decision-making.

Overview
Tests
Data Platform
Job Family
AU$150k
Salary
Average salary in Australia
12%
Job Growth
The number of positions relative to last year
35
Open Roles
Job openings on Alooba Jobs

Data Architects are responsible for designing, creating, deploying, and managing an organization's data architecture. They define how data is stored, consumed, integrated, and managed by different data entities and IT systems, as well as any applications using or processing that data. Data Architects ensure data solutions are built for performance and design analytics applications for various platforms. Their role is pivotal in aligning data management and digital transformation initiatives with business objectives.

Typical Responsibilities & Duties

  • Design and implement effective database solutions and models to store and retrieve company data.
  • Examine and identify database structural necessities by evaluating client operations, applications, and programming.
  • Assess database implementation procedures to ensure they comply with internal and external regulations.
  • Install and organize information systems to guarantee company functionality.
  • Prepare accurate database design and architecture reports for management and executive teams.
  • Oversee the migration of data from legacy systems to new solutions.
  • Monitor the system performance by performing regular tests, troubleshooting, and integrating new features.
  • Recommend solutions to improve new and existing database systems.
  • Educate colleagues through training and individual support.
  • Offer support by responding to system problems in a timely manner.
  • Develop and maintain data models, data dictionaries, and other documentation.
  • Collaborate with the IT team and developers to enhance data storage, extraction, and utilization.

Typical Required Skills & Experiences

  • Proven work experience as a Data Architect, Data Engineer or Analytics Engineer, or similar role.
  • In-depth understanding of database structure principles.
  • Experience gathering and analyzing system requirements.
  • Knowledge of data mining and segmentation techniques.
  • Proficiency in SQL and other database management systems (e.g., MySQL, MongoDB).
  • Expertise in cloud services (AWS, Azure) and knowledge of scripting languages (e.g., JavaScript, Python).
  • Excellent organizational and analytical abilities.
  • Outstanding problem solver.
  • Good written and verbal communication skills.
  • Bachelor’s degree in Computer Science or relevant field.
  • Strong attention to detail with an analytical mind and outstanding problem-solving skills.

Core Data Architect Required Skills

.NET.NETAccessibilityAccessibilityAd Quality ScoreAd Quality ScoreAlteryx DesignerAlteryx DesignerAmazon AthenaAmazon AthenaAmazon AuroraAmazon AuroraAmazon GlueAmazon GlueAmazon KinesisAmazon KinesisAmazon Web ServicesAmazon Web ServicesAmplitude AnalyticsAmplitude AnalyticsAnalytical MindsetAnalytical MindsetAnalytical ReasoningAnalytical ReasoningAnalytics DatabasesAnalytics DatabasesAnalytics EngineeringAnalytics EngineeringAnalytics ProgrammingAnalytics ProgrammingAnalytics Project ManagementAnalytics Project ManagementAnomaly DetectionAnomaly DetectionAnsibleAnsibleApache AirflowApache AirflowApache BeamApache BeamApache CassandraApache CassandraApache HadoopApache HadoopApache HBaseApache HBaseApache HiveApache HiveApache IcebergApache IcebergApache KafkaApache KafkaApache SparkApache SparkAPIsAPIsApplication Scaling StrategiesApplication Scaling StrategiesArraysArraysAutocorrelationAutocorrelationAutomationAutomationAzureAzureAzure Data FactoryAzure Data FactoryAzure Data LakeAzure Data LakeBalancing TreesBalancing TreesBayes TheoremBayes TheoremBig DataBig DataBig Data MiningBig Data MiningBinary SearchBinary SearchBusiness Intelligence ArchitectureBusiness Intelligence ArchitectureBusiness Intelligence DevelopmentBusiness Intelligence DevelopmentCCCardinalityCardinalityCloud AnalyticsCloud AnalyticsCloud ArchitectureCloud ArchitectureCloud ComputingCloud ComputingCloud MonitoringCloud MonitoringCloud PlatformsCloud PlatformsCloudera Data PlatformCloudera Data PlatformCode ReviewsCode ReviewsCollectionsCollectionsCollectorsCollectorsColumnar DatabasesColumnar DatabasesComplexityComplexityComputer ScienceComputer ScienceConcurrencyConcurrencyConcurrency ControlConcurrency ControlConditional ProbabilityConditional ProbabilityControl StructuresControl StructuresCost FunctionsCost FunctionsCQRSCQRSCross Site ScriptingCross Site ScriptingCross ValidationCross ValidationCustomer Data PlatformsCustomer Data PlatformsDashboardingDashboardingDaskDaskDataDataData AcquisitionData AcquisitionData ArchitectureData ArchitectureData EngineeringData EngineeringData Engineering InfrastructureData Engineering InfrastructureData ExplorationData ExplorationData FabricData FabricData FederationData FederationData FormatsData FormatsData InfrastructureData InfrastructureData IntegrationData IntegrationData LakeData LakeData LakehouseData LakehouseData LeakageData LeakageData LineageData LineageData LiteracyData LiteracyData ManagementData ManagementData ManipulationData ManipulationData MartData MartData MaskingData MaskingData MeshData MeshData MiningData MiningData ModellingData ModellingData OrchestrationData OrchestrationData Pipeline OrchestrationData Pipeline OrchestrationData PipelinesData PipelinesData ProcessingData ProcessingData Quality AssuranceData Quality AssuranceData ScienceData ScienceData ScrapingData ScrapingData ShardingData ShardingData StewardshipData StewardshipData Storage FrameworkData Storage FrameworkData StoresData StoresData StrategyData StrategyData StreamingData StreamingData SynchronisationData SynchronisationData TransformationsData TransformationsData TypesData TypesData VaultData VaultData VirtualizationData VirtualizationData WarehousingData WarehousingData WranglingData WranglingData-Driven InsightsData-Driven InsightsDatabase & Storage SystemsDatabase & Storage SystemsDatabase DesignDatabase DesignDatabase ManagementDatabase ManagementDatabase Management ToolDatabase Management ToolDatabase ModelingDatabase ModelingDatabase MonitoringDatabase MonitoringDatabase Performance OptimisationDatabase Performance OptimisationDatabase Scaling StrategiesDatabase Scaling StrategiesDataFramesDataFramesDataOpsDataOpsDAXDAXdbtdbtDecision TreesDecision TreesDell BoomiDell BoomiDenial of ServiceDenial of ServiceDenodoDenodoDesign PatternsDesign PatternsDimension TablesDimension TablesDimensional ModellingDimensional ModellingDimensionality ReductionDimensionality ReductionDistance MatricesDistance MatricesDistance MeasuresDistance MeasuresDistance MetricsDistance MetricsDistributed ComputingDistributed ComputingDistributed SQL Query EngineDistributed SQL Query EngineDo-While LoopsDo-While LoopsDomoDomoElasticsearchElasticsearchEncapsulationEncapsulationEncryptionEncryptionEnglishEnglishEnglish PunctuationEnglish PunctuationEntity Relationship DiagramsEntity Relationship DiagramsEntropyEntropyEvaluation StrategiesEvaluation StrategiesEvent Driven ArchitectureEvent Driven ArchitectureEvent StreamingEvent StreamingFact TablesFact TablesFeature StoresFeature StoresFirewallsFirewallsForeign KeysForeign KeysFormulasFormulasFunctionsFunctionsGitGitGitHubGitHubGitLabGitLabGoogle BigQueryGoogle BigQueryGoogle SheetsGoogle SheetsGPTGPTGraph TheoryGraph TheoryGraphsGraphsHaskellHaskellHelmHelmIDEIDEIgnoringIgnoringImputationImputationIndexingIndexingIndexing StrategiesIndexing StrategiesInductive ReasoningInductive ReasoningInfrastructure as CodeInfrastructure as CodeInteractive Query ServiceInteractive Query ServiceInternet SecurityInternet SecurityJavaJavaJSONJSONKeysKeysKnowledge GraphsKnowledge GraphsKotlinKotlinKubernetesKubernetesLeadershipLeadershipLFSLFSLinear ExtrapolationLinear ExtrapolationLinuxLinuxLiskov Substitution PrincipleLiskov Substitution PrincipleListsListsLocksLocksLog CollectionLog CollectionLog ManagementLog ManagementLoopsLoopsMachine Learning LifecycleMachine Learning LifecycleMariaDBMariaDBMaster Data ManagementMaster Data ManagementMathematicsMathematicsMatricesMatricesMercurialMercurialMetadata ManagementMetadata ManagementMicrosoft AccessMicrosoft AccessMinimum Remaining ValuesMinimum Remaining ValuesMissing Value TreatmentMissing Value TreatmentMitigating BiasesMitigating BiasesMode AnalyticsMode AnalyticsModelsModelsMongoDBMongoDBMouseflowMouseflowMySQLMySQLNatural Language ProcessingNatural Language ProcessingNo Code DatabaseNo Code DatabaseNode.jsNode.jsNon-Functional RequirementsNon-Functional RequirementsNormalizationNormalizationNumerical ReasoningNumerical ReasoningNumPyNumPyOIDCOIDCOLAPOLAPOLTPOLTPOne-Hot EncodingOne-Hot EncodingOpen-Closed PrincipleOpen-Closed PrincipleOperating SystemsOperating SystemsOperation AnalyticsOperation AnalyticsOracle Business Intelligence Enterprise Edition PlusOracle Business Intelligence Enterprise Edition PlusOracle DatabaseOracle DatabaseORMORMOutlier RemovalOutlier RemovalPartitioned TablesPartitioned TablesPartitioningPartitioningPassword HandlingPassword HandlingPHPPHPPie ChartsPie ChartsPivot TablesPivot TablesPostgreSQLPostgreSQLPowerShellPowerShellPresentationsPresentationsPrimary KeysPrimary KeysProbabilityProbabilityProgramming ArchitecturesProgramming ArchitecturesProgramming ConceptsProgramming ConceptsProject ManagementProject ManagementPythonPythonQlikQlikQuantum Machine LearningQuantum Machine LearningQuery Execution PlansQuery Execution PlansQuery OptimisationQuery OptimisationQueuesQueuesRadar ChartsRadar ChartsRecommendation SystemsRecommendation SystemsRedisRedisRedshiftRedshiftReduxReduxRegression ModelsRegression ModelsRelational Data ModelsRelational Data ModelsRelational DatabasesRelational DatabasesRemote RepositoriesRemote RepositoriesReverting ChangesReverting ChangesRisk AnalysisRisk AnalysisRoboticsRoboticsSAP HANASAP HANASASSASScatter ChartsScatter ChartsSeabornSeabornSearching TreesSearching TreesSecure ProgrammingSecure ProgrammingServerless Architectures in DataServerless Architectures in DataServerless ComputingServerless ComputingService-Oriented ArchitectureService-Oriented ArchitectureSignal to NoiseSignal to NoiseSimilarity FunctionsSimilarity FunctionsSisense for Cloud Data TeamsSisense for Cloud Data TeamsSnapLogicSnapLogicSnowflake Data CloudSnowflake Data CloudSOAPSOAPSoftware Development Life CycleSoftware Development Life CycleSoftware EngineeringSoftware EngineeringSolarWindsSolarWindsSolution DesignSolution DesignSplunkSplunkSQLSQLSQL DevelopmentSQL DevelopmentSQL ServerSQL ServerSQLiteSQLiteSSISSSISStandardizationStandardizationStringsStringsStructured DataStructured DataSwiftSwiftSystems ArchitectureSystems ArchitectureT-ScoresT-ScoresTablesTablesTalend Data FabricTalend Data FabricTask SchedulingTask SchedulingTeradataTeradataTerraformTerraformThe Big Five Personality ModelThe Big Five Personality ModelThrottlingThrottlingTime ComplexityTime ComplexityTinybirdTinybirdTracking CodesTracking CodesTransactionsTransactionsTransport Layer SecurityTransport Layer SecurityTrinoTrinoTypes of ErrorsTypes of ErrorsTypeScriptTypeScriptUnixUnixVBAVBAVerticaVerticaWeb CrawlingWeb CrawlingWikiWikiWindowsWindowsWorkflow AutomationWorkflow AutomationWorkflow ManagementWorkflow ManagementWormsWormsXMLXMLYAMLYAMLYield AnalyticsYield Analytics

Discover how Alooba can help identify the best Data Architects for your team

Data Architect Levels

Intern Data Architect

Intern Data Architect

An Intern Data Architect is a budding professional who assists in designing, creating, and managing an organization's data architecture. They work under the guidance of senior data architects to develop their skills and contribute to the planning, implementation, and maintenance of data systems.

Graduate Data Architect

Graduate Data Architect

A Graduate Data Architect is an entry-level professional who assists in designing and implementing an organization's data architecture. They bring a fresh perspective to data management, helping to shape the way data is collected, stored, processed, and used. Their role is crucial in ensuring data integrity and accessibility.

Junior Data Architect

Junior Data Architect

A Junior Data Architect is a budding professional in the field of data architecture, responsible for designing, creating, deploying, and managing an organization's data architecture. They work under the guidance of senior data architects, contributing to the development and implementation of data strategies that support business objectives.

Data Architect (Mid-Level)

Data Architect (Mid-Level)

A Mid-Level Data Architect designs and manages the organization's data architecture, ensuring that data is structured and organized in a way that optimally supports business operations and decision-making. They play a key role in devising data strategies, implementing data models, and maintaining data integrity.

Senior Data Architect

Senior Data Architect

A Senior Data Architect is a key player in shaping the way an organization manages and utilizes its data. They design and implement data systems and strategies, ensuring data accessibility, integrity, and security. Their expertise in databases, data modeling, and systems architecture is vital for the smooth functioning of data operations.

Lead Data Architect

Lead Data Architect

A Lead Data Architect is an experienced professional who designs, creates, deploys, and manages an organization's data architecture. They define how data is stored, consumed, integrated, and managed by different data entities and IT systems, as well as any applications using or processing that data in some way.

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