Senior Data Architect
1 month ago
At Datatech Analytics, we are seeking a highly skilled Senior Azure Data Engineer to join our team. As a key member of our data engineering team, you will be responsible for developing and maintaining our data engineering capabilities, with a focus on Azure Synapse.
The ideal candidate will have a proven track record of developing data pipelines and products using Azure, Azure Synapse, Apache Spark, DevOps, Snowflake, Databricks, and Fabric. They will also have a high level of coding proficiency in SQL and Python, as well as experience with data modeling and BI solutions.
Key responsibilities will include shaping the development and data engineering capabilities, becoming an SME on the design, development, and deployment of data ETL pipelines, and ensuring that all data pipelines are developed to a high standard. The successful candidate will also have the ability to think strategically and help develop the data strategy, while being hands-on and able to manage complex data products and solutions.
Key Accountabilities
- Shape the development and data engineering capabilities, with the ability to influence the direction of team, including ways of working, engineering principles, data governance and best practice.
- Become an SME on the design, development, and deployment of data ETL pipelines (using Azure Data Factory, Azure Synapse, Apache Spark and other technologies) to access, combine and transform data from on-prem and cloud-based sources.
- Ensure that all data pipelines are developed to a high standard, where possible adopting best practice engineering principles such as domain driven design, test driven development and clear separation of concerns.
- Help to shape the overall strategic data and analytical capabilities, as a senior member of the data team you will need to help adopt best practices and continuously improve data engineering standards across the team.
- Help to manage key internal and external relationships, including Business end users, IT, Risk & Compliance, and data services providers.
- Develop complex data products and solutions, managing long running projects, multiple priorities, and balance the need for delivery over scalability.
- Proven track record of developing data pipelines and products using Azure, Azure Synapse, Apache Spark, DevOps, Snowflake, Databricks and Fabric.
- High level of coding proficiency in SQL and Python.
- A good level of experience of Data Modelling and BI solutions is also required.
- Experience of Machine Learning Engineering and CRM are also highly desirable.
- Ability to think strategically and help develop the data strategy, whilst at the same time being hands on.
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