Roles & Responsibilities :

- You will be responsible for translating the client's business requirements into an optimal architecture designed to address client business problems.

- You'll gather customer/partner insights from a broad range of stakeholders to shape and form both the definition and ongoing execution of projects.

- You'll define and document the architecture to communicate the value proposition of the business solution along with the project approach.

- You'll jointly drive project/technical governance of the design, build, and deployment into use.

- You'll work with the business sponsor and customer/partner stakeholders to gather and ratify requirements and constraints.

- You'll be responsible for dimensional modelling, best practices and development of data accelerators that will help drive automation and productivity.

Key Skills Required :

- Strong understanding of complex business problems to ensure projects are leveraging the appropriate technology and the technical design.?

- Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, and technology management.

- Experience in moving data from on-premises data platforms to cloud and designing cloud native data warehouse platform.

- Experience working with transactional, temporal, time series, and structured and unstructured data.?

- Big Data and Data Warehouses including Azure Data Lake, Azure Data Explorer, Azure Data factory, Pyspark, SQL and some experience in Fabric.

- Advanced Analytics including Azure Synapse Analytics, Azure Data Bricks, data visualization tools (i.e. PowerBI, Tableau)

- Data Science and Machine Learning (i.e. Azure ML, ML Server, TensorFlow, or other similar frameworks)?

- Experience with cloud infrastructure, storage optimization and query optimizations.

- Experience in delivering/managing lifecycle of software/services using DevOps/MLOps.

- Proficiency in data modeling and design, including SQL development and database administration.

- Experience with cloud platforms, such as Azure, to manage and integrate data systems.

- Knowledge of big data developments and technology architectures.

- Familiarity with data security measures and compliance regulations.

- Ability to design and model database, data warehouse, and data flow infrastructures.

- Understanding of data integration and the tools to manage data flow.

- Excellent communication and collaboration skills.