
Data Architecture Expert
1 day ago
Overview of Senior Consultant Role
Job DescriptionA seasoned professional is sought after to lead data architecture and engineering endeavors. As a key member of our team, you will design and implement logical and physical data models for cloud and hybrid data warehouse environments.
Your expertise in crafting data architectures to support diverse data formats and structures, including structured, semi-structured, and unstructured data, will be invaluable. Additionally, you will have the opportunity to implement full life-cycle data warehouse solutions and contribute to the development of data integration processing capabilities.
Required Skills and QualificationsTo excel in this position, you will need:
- Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments
- Implementing data architectures to support a variety of data formats and structures including structured, semi-structured and unstructured data
- Experience with multiple full life-cycle data warehouse implementations
- Understanding of data architectures required to support data integration processing
- Experience with data modeling technologies such as ER/Studio, ER/Win or similar
- Demonstrated ability to quickly learn, adopt and apply new technologies
- Data profiling and creation of source to target mappings
- Ability to provision and configure Azure data service resources
In terms of technical skills, proficiency in Python and SQL scripting, SQL, PySpark, and general cloud architecture competency are essential. Additionally, experience creating APIs and working with Microsoft Fabric, Power BI, and semantic modeling are highly valued.
BenefitsThis role offers a range of benefits, including:
- Competitive compensation package and standard benefits
- Quarterly and annual performance-based cash bonus and other remuneration
- Great working environment and company culture with flexible work location
We encourage applications from individuals who are passionate about data architecture and engineering and are eager to grow their skills in a dynamic environment. We look forward to hearing from you
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