Azure Architect
5 days ago
We are looking for a Azure/Data Architect who would be responsible to lead business intelligence and analytics projects. The Architect will be responsible for working with lead business analysts to deliver end to end business intelligence and analytics projects working closely with lead business analysts and Customer stakeholder.
Responsibilities
We are looking for Technology and Management experience in the areas of writing Hands on Code, Solution Architecture, Delivery Management, Digitalization Programs. Technically hands on into Platform, Cloud, DevOps, Containers, Big data, Databases, Data Engineering and Microservices Applications. Mentoring technical and functional competency to the teams and cross training technologies
Experience in developing and implementing an overall organizational data strategy that is in line with business processes.
Ability to work efficiently on data model designs, database development standards, implementation and management of data warehouses and data analytics systems.
Create a well-informed cloud strategy, develops and organizes cloud systems. Previous ownership of the technical solution architecture.
Qualifications we seek in you
Minimum Qualifications / Skills
Bachelors/ Master of Technology
Design and lead the build effort for cloud data platforms
Hands-on experience with Azure Data Factory (ADF), Databricks technologies.
Experience in building strong orchestration layers in Databricks/ADF workflows.
Knowledge of cloud-based solutions (e.g., AWS, Azure) is essential.
Familiarity with building governance solutions like Unity Catalog is preferred.
Good understanding of Enterprise security needs and implementing secure integration solutions
Strong analytical, problem solving, and troubleshooting abilities.
Extensive knowledge on RDBMS concepts.
Experience in writing SQL queries against any RDBMS with query optimization abilities.
Preferred Qualifications/ Skills
Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations.
Flexibility to adapt to a variety of engagement types, working hours and work environments and locations.
Excellent communication and negotiation skills
Hands-on skills in PySpark and Apache Spark.
Experience with Hadoop migration to Databricks is required.
Collaboration skills with various enterprise teams (Business and IT teams)
Azure platform/services knowledge
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