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.(ref : hirist.tech)