Delivery Head - Azure Data Engineering

Key Responsibilities :

- Lead the planning and execution of Azure data engineering projects from inception to completion.

- Manage project budgets, timelines, and resource allocation effectively.

- Collaborate with clients to gather requirements and define project scope and deliverables.

- Ensure quality control and best practices in data engineering processes.

- Support the team in the design, development, and implementation of data pipelines, data lakes, and data warehouses.

- Conduct regular meetings with stakeholders to provide project updates and gather feedback.

- Mentor and coach team members to enhance their skills and performance.

- Identify risks and develop mitigation strategies to ensure project success.

- Stay current with industry trends and advancements in Azure technologies.

Skills and Tools Required :

- Extensive experience in data engineering and project management, ideally with a focus on Azure.

- Strong proficiency with Azure data services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure SQL Database.

- Familiarity with programming languages such as Python, SQL, and Scala.

- Knowledge of big data technologies and data modeling techniques.

- Excellent leadership and team management skills.

- Strong problem-solving and analytical abilities.

- Effective communication skills, both verbal and written, with the ability to interact with technical and non-technical stakeholders.

- Project management tools experience (e.g., Azure DevOps, Jira, Trello).

- Relevant certifications in Azure Data Engineering or Project Management would be a plus.

Skills

Data Engineering, Project Management, Delivery Head, Azure Data Factory, Azure Databricks, SQL Server, Python, Big Data, Data Modeling, Synapse Analytics, Project Manager - Data Engineering