Posted on: 13/08/2025
As a Senior Data Consultant, you will play a pivotal role in leading and supporting the growth of our Data & Analytics business.
Your responsibilities will involve designing and implementing complex data solutions across projects, while providing expert guidance to clients.
In this role you will :
- Identify business problems, articulate objectives and success measures, and translate requirements into current/future state solutions and analytical tools that demonstrate realizable benefits.
- Elicit requirements, design, build and deploy advanced models and analytical solutions.
- Be responsible for the architectural approach and vision for all technical components of the solution and leadership of the technical teams.
- Develop practices and routines to support data science and automation of analytical based assets into business processes.
- Define approaches and methodologies with specialization and demonstrates expert knowledge in support of project delivery and sales.
- Be responsible for the quality and delivery of technical deliverables and leading overall projects or critical work streams.
- Be an expert in best practices for the design and build of data models and data pipelines.
- Create an exceptional client experience by understanding their expectations, seeking feedback, and engaging around value delivered.
Key Responsibilities :
- Data Modeling & Architecture Design and implement efficient data lake and data warehouse architectures using Azure Data Lake Storage Gen2, Synapse Analytics, or SQL Database.
- Create and maintain star/snowflake schemas, partitioning strategies, and metadata models.
- Design & Build Scalable Data Pipelines.
- Develop robust data ingestion and transformation pipelines using Azure Data Factory, Azure Synapse Pipelines, or Databricks.
- ETL/ELT Development Build and maintain ETL/ELT pipelines for structured and unstructured data.
- Leverage tools like Azure Data Factory, Databricks, or Synapse Mapping Data Flows.
- Power BI Development & Optimization Design and develop interactive and scalable Power BI reports and dashboards.
- Build semantic models using Power BI Desktop with strong DAX and Power Query skills.
- Optimize dataset performance and implement row-level security where needed.
- Publish, schedule, and monitor datasets in Power BI Service, integrating with Azure datasets where applicable.
- Performance Optimization Tune and optimize SQL queries and pipeline performance.
- Implement cost-efficient strategies for data movement and storage.
- DevOps & CI/CD for Data Pipelines Implement CI/CD pipelines using Azure DevOps for data deployments.
- Manage ARM templates, Bicep, or Terraform for infrastructure provisioning.
- Mentoring & Technical Leadership Provide guidance to junior data engineers.
Why Join Innovior?.
At Innovior, we thrive on innovation, collaboration, and real-world impact.
Heres why youll love being part of our team :
- Exciting Work : Were leaders in Intelligent Automation, Salesforce, Data & AI, Cloud, ServiceNow, and morepartnering with Australias biggest brands.
- Supportive Team : Join a dynamic, friendly culture where we solve problems together and celebrate success.
- Career Growth : Access training, mentorship, and cutting-edge tech to fuel your ambitions.
- Inclusive & Forward-Thinking : We welcome diverse perspectives and encourage applicants from all backgroundseven if you dont meet every criterion.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1529239
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