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.