Job Overview:

We are looking for a strong Data Analytics Manager/Senior Manager with exceptional leadership skills, a deep understanding of Azure and Databricks, and the ability to communicate effectively with executive teams. The ideal candidate will lead data and analytics initiatives, manage teams and third-party contractors, and collaborate closely with business stakeholders to define strategies that align with industry and technology perspectives

Key Responsibilities:

Lead end-to-end data program initiatives, including planning, integration, and execution, leveraging Azure services for comprehensive data solutions.
Design highly available, scalable, and fault-tolerant Azure solutions, focusing on data ingestion, transformation, and analysis in Data Lakes and Data Warehouses.
Spearheaded the integration of Azure services into existing infrastructures, ensuring smooth data flow and seamless interoperability between cloud environments.
Devise solutions for data migration between Data Lakes, minimising disruption and ensuring smooth business operations.
Evaluate and enhance existing Azure architectures, focusing on cost optimisation, performance improvements, and best practice alignment.
Work closely with cross-functional teams to define technical requirements, craft architecture diagrams, and present solutions that align with business objectives.
Work closely with the Director of Enterprise Applications to set the vision and direction for data and analytics within the organization, aligning with business goals and industry best practices.
Lead, mentor, and manage a team of data analysts and engineers, including third-party contractors, to deliver high-quality data solutions and insights.
Define and implement data and analytics strategies that leverage Azure and Databricks, focusing on scalability, efficiency, and innovation.
Bring industry and technology perspectives to integrate cutting-edge data and analytics tools, enhancing the overall data infrastructure.
Design and manage end-to-end data pipelines across Azure environments, enabling efficient data movement and transformation.
Implement comprehensive monitoring, logging, and alerting solutions within Azure to ensure proactive management of cloud resources.

Qualifications:

Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field.
More than 10 years of experience in data analytics, data engineering, or related fields, with a proven track record of managing teams and delivering complex data solutions.
Strong expertise in Azure, Databricks, and related data analytics tools and platforms.
Relevant certifications in Azure, Databricks, or data analytics (such as Microsoft Certified: Azure Data Engineer, Azure Solutions Architect, or Databricks Certified Data Engineer) are highly preferred.
Strong problem-solving skills and a track record of applying data analytics to inform business decisions.
Excellent verbal and written communication skills, with the ability to present data strategies and insights to executive teams.

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