Cloud Data Architect

Job Description
THE POSITION:
As a Cloud Data Architect, this role will be instrumental in enhancing and supporting our Enterprise Cloud Data Warehouse currently on Snowflake. Responsible for designing and delivering data models, data integrations and ETL data pipelines, supporting client project deliverables and ensuring meticulous documentation of solutions provided. The ideal candidate will have a strong background in data architecture, experience with Snowflake Cloud Data Warehouse, and proficiency in ETL processes.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
1. Design and implement end-to-end data integration solutions with Enterprise Cloud Data Warehouse.
Data replication from variety of internal and external data sources into Snowflake Data Warehouse Raw layer.
Collaborate with cross-functional teams to understand business requirements and translate them into effective data models.
2. Experience with Snowflake Cloud Data Warehouse Platform is required:
Experience using Snowflake capabilities such as Snowpipes, Tasks, Streams, Stored Procedures, Data Replication.
Implement best practices for data auditing &
data quality.
Implement Industry best practices for User Access and Data Security.
Experience with Secure Data Sharing
Experience implementing best practices for virtual warehouse management
3. Design and implement ETL processes:
Experience using DBT ETL is required.
Experience using Qlik Replicate and Qlik Compose ETL is preferred.
Experience using CICD pipelines and code repositories such as Bitbucket is preferred.
Develop and implement efficient ETL processes to support data integration from different engagement platforms.
Optimize data workflows for performance and scalability.
Experience with AWS Services (S3, Event Bridge, Cloudwatch, etc.) is required.
4. Support client project deliverables:
Able to lead the implementation and integration of data solutions for clients.
Provide technical guidance and support during client onboarding processes.
Conduct data mapping exercises to align business requirements with data architecture.
5. Demonstrate proficiency in SQL;
Python scripting skillsare a valuable addition:
Write and optimize SQL queries for data extraction, transformation, and loading.
Python skills for automation and scripting are desirable.
6. Knowledge of Life Sciences or Healthcare business processes is advantageous
Familiarity with Patient Services and Specialty Pharmacy systems and business processes is a plus.
7. Exhibit strong documentation abilities:
Familiarity with SDLC processes and documentation.
Experience using work management and documentation platforms such as Jira, Confluence is a plus.
Document requirements and conduct peer reviews.
Ensure documentation is accessible and understandable for both technical and non-technical stakeholders.
EXPECTATIONS OF THE JOB:
Travel – Under 5%
Hours – 40+, typically Monday - Friday
The above list reflects the general details necessary to describe the expectations of the position and shall not be construed as the only expectations that may be assigned for the position.
An individual in this position must be able to successfully perform the expectations listed above.