Job Title : Senior Data Integration Architect (DBT+ Snowflake) with Pharmaceutical Domain
Work Location : Hybrid, Onsite from Day1. Boston, MA. Prefer local candidates or in Tristate who can relocate to Boston and work onsite in Hybrid mode.
Purpose of the Position : As a Senior Data Integration Architect (DBT), You will be responsible for development, and optimization of data solutions using Snowflake and DBT, ensuring efficient data integration, transformation, and real-time analytics.
This role involves collaborating with cross-functional teams to translate business requirements into technical solutions, maintaining data integrity and compliance, and driving innovation in data engineering practices.
Key Result Areas and Activities :
- Data Architecture and Pipeline Development :
- Design, build, and maintain robust Snowflake architectures and data pipelines using DBT to ensure efficient data integration and transformation.
- Performance Optimization :
- Optimize the performance of Snowflake databases and DBT models to ensure high efficiency and scalability of data solutions.
- Data Quality and Compliance :
- Ensure data integrity, quality, and compliance with data governance and security policies.
- Collaboration and Stakeholder Management :
- Work closely with analysts, and business stakeholders to understand requirements and deliver effective data solutions.
- Innovation and Continuous Improvement :
- Drive innovation in data engineering practices and continuously improve processes and tools to enhance data capabilities.
Must have :
- Deep understanding of Snowflake architecture, data warehousing, and performance optimization, High proficiency in SQL
- Collaborate with analysts and business stakeholders to gather requirements, translate them to business requirements, design scalable and reliable solutions
- Strong skills in developing, testing, and deploying DBT models for data transformation and pipeline management.
- Expertise in data modelling (both relational and dimensional) and designing efficient ETL processes.
- Agile SCRUM, JIRA and Prior experience in Analytics with PowerBI know how
Good to have
- Basic knowledge of integrating machine learning models and AI algorithms with data pipelines.
- Experience with DevOps practices and continuous integration / continuous deployment (CI / CD) pipelines.
- Understanding of compliance standards such as GDPR, HIPAA, etc
- Pharmaceutical experience Commercial Operations, Patient Engagement
Qualifications :
- Minimum of 8+ years of experience in data engineering, with a focus on Snowflake and DBT.
- Proven track record of designing and implementing data solutions in complex environments.
- Relevant certifications in Snowflake and other cloud technologies are highly desirable.
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field.