DataDivers - Data Solutions Architect (Perth)

DataDiversis hiring! DataDivers, part of theRmkblefamily,is on the hunt for a dynamic and drivenData Solutions Architectto join our growing team. AboutDataDivers DataDiversis one ofRmkble'sspecialist businesses, dedicated to all thingsdata andanalytics.Our expertise spans data strategy,data platforms, DataOps, advanced analytics, data science and AI, and building a data culture in our clients’ organisations. We are exceptional problem solvers who turndata into real business insights. As a results-driven organisation, we are committed to remarkable outcomes for our clients. We are well-known for always delivering, but not only do we deliver, we goabove and beyondto exceed expectations and build lasting relationships. Wedon’toperatein isolation to achieve this; we have robust partnerships with Microsoft, Snowflake, AWS, Databricks and Informatica, to name a few. With a diverse client base, our people work across an exciting mix of organisations and with a variety of technology stacks. Our clients are both local and international, in the public and private sectors, and cover a vast cross-section of different domains, from health to government to mining to not-for-profits. Our people are second to none in their field. They are true experts who are continuously learning and continuously giving back. Some deliver learning and mentoring programs; others are shaping future products, or tweaking frameworks and tools to advance new thinking. At the heart of what setsDataDiversapart is the support that our leaders and our people give to each other. We believe that passion and curiosity lead to awesome possibilities for both you and for us. So come join the team and have a remarkable journey! About the role: AData Architectisasenior andspecialistrole within the DataDivers.io business.This rolepossessesICT technicalexpertiseas well asconsiderableexperienceinone or moreareas such asdata analysis,data engineering,datamanipulationand data visualisation. TheData Architectis responsible forcontributing to the design and management ofan organisation's datasystems andinfrastructure.Data Architectscreateblueprints for how data is collected, stored,organisedand accessed across the organisation.Activities theData Architect willundertake includemodelling,database design,integrationsanddatagovernance.Data Architectsuse their skills andexpertisetodesign and manage robust data architectures that align with organisational goals,therebyfacilitatinglasting sustainabilityfor theirclients through thedelivery ofpragmatic solution outcomes. This role worksat an enterprise level, engaging withtheclient’sExecutive and operationalleadstounderstandtheorganisation’sdata needs. The Data Architectassessesthequality of theorganisation’sdata,usingthe data toprovideclient insights and presentviews on how that insight can bring benefit to the client’sorganisation. Key Responsibilities: Data Architecture Design:
- Primarily responsible for designing the overall data architecture of an organization, including data models,data integration patterns,database structures, and data governance frameworks.
- Evaluate and selectappropriate datastorage, processing, and integrationsolutions (e.g., databases, data lakes,lakehouses). Strategic Planning:
- Undertakeplanning and present strategic roadmaps to addressfuture data needs, scalabilityrequirements, and integration ofnew technologies.
- Understand and align data architecture with overall enterprise architecture frameworks and business strategies. Modelling :
- Design and create data models (conceptual, logical, and physical) for data warehouses, data lakes,lakehouses,and databases.
- Usedata modelstorepresentthe data structure and relationships within systemsrepresentingbusiness processes and functional areas with the business.
- Developing scripts or applications for data manipulation, integration, or analysis.
- Analyseand optimisebusiness processes that rely on data for decision-making.
- Createand managedatabase schemas to ensure efficient data storage and retrieval.
- Applying techniques and tools to process and analyse large datasets, oftenleveragingbig data technologies. Data Governance:
- Establish data standards, policies, and best practices to ensure data integrity and security.
- Implement data governance best practices to ensure compliance.
- Maintain documentation of data sources, pipelines, and architecture.
- Understand and implement data governance, quality, and lifecycle management processes.
- Ensuredata security measures are in place to protect sensitive information andcomply withregulations. Collaboration :
- Work withvariousstakeholders, such as data scientists,analystsand othersto understand business requirements and align data architecture with organisational goals.
- Providingexpert advice in specific technologies relevant to data management and architecture.
- Maintain strong and positive relationships with industrytostay informed about emerging technologies and trends in data managementtoensurethe organisationremainscompetitive. Skills (Level: High)
- Skills Framework for the Information Age (SFIA)
- Expertise in data modelling and database design principles
- Business consulting experience
- Conceptual thinking
- Leadership and relationship management
- Communication and collaboration
- Define and implement processes to support data governance, quality, and lifecycle management
- Ability to design models to represent the data structure and relationships within the system
- Apply techniques and tools to process and analyse large datasets, often leveraging big data technologies
- Experience employing data security measures to protect sensitive information and comply with regulations
- Analyse and optimise business processes that rely on data for decision-making
- Align data architecture with overall enterprise architecture frameworks and business strategies
- Provide expert advice in specific technologies relevant to data management and architecture Tools / Languages & Methodologies Tools / Languages (Proficient)
- Database Management Systems (DBMS) for Regional and NoSQL databases MySQL, PostgreSQL, Oracle, Redis, Amazon DynamoDB
- Data Modelling Tools ER/Studio, IBM InfoSphere Data Architect, Microsoft Visio, Lucidchart
- ETL Tools Azure Data Factory, Microsoft Fabric, Databricks, Apache NiFi, Talend, Informatica, Microsoft SSIS, AWS Glue
- Data Warehousing Solutions Amazon Redshift, Google BigQuery, Snowflake, Microsoft Fabric, Databricks, Azure Synapse Analytics
- Big Data Technologies Apache Hadoop, Apache Spark, Apache Kafka, Cloudera
- Collaboration & Documentation Tools Confluence, SharePoint, GitHub
- Programming Languages SQL, Python, R, Java, JavaScript, Scala Methodologies (Proficient)
- Extensive experience with Data Warehousing methodologies (e.g., Ralph Kimball, Data Vault)
- Broad understanding of CI/CD practices in Azure, AWS, or GCP
- Experience of data quality and data governance processes to ensure data accuracy and reliability Experience: The RmkbleData Architecthasthe following level of experience:
- At least5years’ experiencein a similar role.
- At least5years’ experienceinclient deliverywithin a project/ consultancyenvironment.
- Considerableexperience inaleadershiprole(s)managingdesign and deliveryof data solutions. Specific Qualifications: The RmkbleData Architectshould have the following minimumqualifications:
- Undergraduate university degree inComputer Science /Statistics,Mathematics, Science, Engineering or Technology.
- Masters level degree preferred. #J-18808-Ljbffr Apply on Kit Job: kitjobau.com/job/3rnbpp