
Lead Data Solutions Architect
2 weeks ago
Join a dynamic team as a Lead Data Engineer and take on a leadership role in designing and implementing data solutions.
- The ideal candidate will have multi-year work experience as a Platform Lead, Delivery Leader or similar role.
- They should possess good working knowledge of AWS Services, Python, Pyspark, data modeling.
- A strong understanding of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured data is required.
- Knowledge of ETL, data mining, Data Warehousing and segmentation techniques is also necessary.
- Experience with databases (Azure SQL, MSQL), data lakes (e.g., Azure Data Lake/Delta lakes), Processing tools (e.g., Databricks/HDInsight) and BI and Reporting tools (e.g., Power BI, Tableau) is desired.
- The successful candidate will have experience working with advanced data management, data processing, and data science-related exploration of data to create insights that drive business decision making.
- They should also have a working knowledge of modern infrastructure automation technology stacks and the ability to identify the best tool for the task.
- A deep understanding of Agile principles, methodologies and frameworks is essential, especially those designed to be scaled at the enterprise level.
- The ideal candidate will be open to knowledge transfer, willing to coach others and help them to learn.
- Excellent analytical skills and a quick grasp are required, as well as an independent way of working with high proactivity.
- The candidate should be able to work creatively and analytically in a problem-solving environment.
- Excellent written, verbal, communication skills are necessary to articulate new ideas and concepts to technical and non-technical audiences.
- Ability to communicate with customers clearly and straightforwardly is also required.
Bonus points if you are self-directed learner with an interest in continually developing and improving skills and knowledge.
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