Job DescriptionTHE 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:Our employees are tasked with delivering excellent business results through the efforts of their teams. These results are achieved by:
- 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.
- Experience with Snowflake Cloud Data Warehouse Platform:
- 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 with open table formats, specifically Apache Iceberg for cross-platform data strategies.
- Experience implementing best practices for virtual warehouse management
- Design and implement ETL processes:
- Experience in 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.
- Experience designing data flows and ingestion patterns across multi-cloud environments is preferred.
- 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.
- Demonstrate proficiency in SQL; Python scripting skills are a valuable addition:
- Write and optimize SQL queries for data extraction, transformation, and loading.
- Python skills for automation and scripting are desirable.
- Knowledge of Life Sciences or Healthcare business processes is advantageous
- Familiarity with Patient Services and Specialty Pharmacy systems and business processes is a plus.
- 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.
- Familiarity with Pharma Marketing and Campaign Management Data, Systems and Business Processes
- Demonstrate a commitment to diversity, equity, and inclusion through continuous development, modeling inclusive behaviors, and proactively managing bias.
- All other duties as assigned.
Consistent with the Americans with Disabilities Act (ADA) and applicable state and local laws, it is the policy of EVERSANA to provide reasonable accommodation when requested by an employee with a disability, unless such accommodation would cause an undue hardship for EVERSANA. If reasonable accommodation is needed to perform the essential functions of your job position, please contact Human Resources.
EXPECTATIONS OF THE JOB:- Travel (0%)
- Hours (Monday through Friday, 40+ hours per week)
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.
QualificationsMINIMUM KNOWLEDGE, SKILLS AND ABILITIES:The requirements listed below are representative of the experience, education, knowledge, skill and/or abilities required.
- Bachelor's or advanced degree in Computer Science, Information Technology, or a related field.
- At least 5+ years with Data Warehouse architecture design and solutioning.
- At least 3+ years of experience working with Snowflake cloud data warehouse.
- At least 2+ projects operating in Lead Data Architect role.
- Experience using and developing with ETL tools, preferably DBT and Qlik Replicate and Compose.
- Experience with AWS and Python scripting.
- Strong problem-solving and analytical abilities.
- Ability to design, execute and communicate solutions to different stakeholders.
PREFERRED QUALIFICATIONS:- Preferred experience with Snowflake platform architecture
- Preferred experience with Data Quality monitoring frameworks, Data Catalog and Data Dictionaries
- Preferred experience working with Google Big Query (GBQ) and Google Cloud Platform.
- Preferred experience with Multi-Cloud Data Architecture / Cross-Platform Data Integration
PHYSICAL/MENTAL DEMANDS AND WORKING ENVIRONMENT:The physical and mental requirements along with the work environment characteristics described here are representative of those an individual encounters while performing the essential functions of this position.
Office: While performing the essential functions of this job the employee is frequently required to reach, grasp, stand and/or sit for long periods of time (up to 90% of the shift), walk, talk and hear; occasionally required to lift and/or move up to 25 pounds. The noise level in the work environment is usually moderately quiet, with frequent interruptions and multiple demands.
Additional Information 
