Hi,
Azure Databricks Architect
USA Burbank, CA Day 1 oniste
Overall 15+ Years experience in IT Industry
Minimum 3 years of experience as Architect on Analytics Solutions
Minimum 8+ years experience in Data Cloud Programs
Experience in architecting data ingestion and ETL frameworks capable of processing structured, un/semi – structured data set in batch.
Experience in performing Design, Development and deployment using Azure Services – ADF, Azure Data Lake, Databricks, Python etc.,
Develop and maintain Scalable Architecture, database design and data pipelines.
Design and Develop the data lake, data warehouse using Databricks, Azure Cloud Services.
Work with business and application stakeholders to implement data strategies, build data flows and develop Data Models.
Provide technical guidance, mentoring and code review, design level technical best practices.
Job Summary:
This position will be responsible for designing and implementing data architectures to power our Databricks applications. The successful candidate will have a deep understanding of data modelling, data warehouse design and implementation, and the ability to develop and maintain data pipelines.
Responsibilities:
- Design, develop, and implement data architectures for Databricks applications, including data models, data warehouses, and ETL pipelines
- Design data structures for efficient access and query performance
- Develop and maintain data pipelines for effective data extraction, transformation, and loading
- Optimize data architectures for scalability, reliability, and performance
- Collaborate with cross-functional teams to identify data requirements and design solutions
- Monitor and optimize data performance in production
- Develop and maintain data quality standards
- Evaluate and recommend new technologies and tools to improve data architecture
- Develop and maintain data security standards
- Provide technical guidance and mentorship to junior team members
Qualifications:
- Bachelor’s degree in Computer Science, Information Systems, or related field
- 8+ years’ experience in data architecture, data modeling, data warehousing, and ETL
- Expertise in Databricks and other cloud technologies
- Strong understanding of data security standards
- Highly organized, detail-oriented, and able to adapt to changing priorities
- Excellent written and verbal communication skills, with the ability to effectively communicate with technical and non-technical audiences
- Ability to work independently and collaboratively in a fast-paced environment””
- Organize and Collaborate with key stakeholders to define functional and non-functional CPQ data requirements
- Understand and document data transformation requirements
- Finalize ETL tools if any and effort estimates
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