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As a Senior Consultant you will be responsible for designing, implementing and owning the delivery of robust Data Platform solutions and end-to-end components. This is a client facing role, so you'll need to be an excellent communicator with good presentation skills across a range of stakeholder levels.
Job Responsibility:
Working with clients (businesses users) to gather, clarify requirements and business rules by running workshops with stakeholders
Contribute to the technical architecture, design and delivery for new modern data platforms using innovative ideas and your proven experience in data warehousing
Provide overall thought leadership to our clients regarding data warehousing and source system integration recommendations
Design data models (relational and dimensional modelling) across different data domains and industries
Ability to perform performance tuning and optimisation on new or existing data platform solutions
Managing development life cycle using various source code management tools including our AI modernisation techniques and products
Ability to design and develop customised self-service solutions using Power BI, with an in-depth knowledge of the different deployment options
Provide detailed documentation, end user training and knowledge-transfer services to customers, and internal teams
Requirements:
Excellent consultation and stakeholder management skills
Excellent verbal and written communication skills
Proven track-record of designing and building modern data platforms including Enterprise Data Warehouse migration experience
Advanced and practical skills in Azure, Fabric, and Snowflake (dataflows, pipelines, notebooks) with experience in tools such as Azure/Fabric Data Factory, Coalesce, Matillion, dbt, and Fivetran
Advanced and practical skills using Python
Strong skills in cloud platforms including Azure and AWS
Strong skills in data platform implementation, configuration, performance and cost management tuning (i.e. Azure, Fabric, Snowflake)
Strong skills in Power BI, Power Query, SQL and DAX semantic data modelling
Advanced and practical skills using DevOps and knowledge of CI/CD pipelines, Git integration, and deployment automation