Snowflake Solution Architect

 Posted 2 hours ago
     
10+ years experience
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AI Summary

Architect and implement scalable Snowflake data warehouse solutions, including end-to-end data architectures and ETL/ELT pipelines. Lead the integration of complex life sciences datasets while optimizing performance, cost, and data governance frameworks.
Key Responsibilities

·       Architect and implement scalable data warehouse solutions using Snowflake

·       Design end-to-end data architectures including ingestion, transformation, storage, and consumption layers

·       Develop and optimize data models (dimensional and normalized) to support analytics and reporting use cases

·       Lead integration of multiple data sources including commercial, clinical, and third-party vendor data

·       Define and implement ETL/ELT pipelines using modern tooling (e.g., DBT, Azure Data Factory, Databricks)

·       Establish data governance, security, and data quality frameworks aligned with regulatory requirements

·       Optimize Snowflake performance, cost management, and workload scaling strategies

·       Collaborate with stakeholders to define data strategy, architecture roadmaps, and platform evolution

·       Support downstream analytics, BI (e.g., Power BI), and data science initiatives

·       Provide technical leadership and mentorship to data engineering teams

Required Qualifications

·       10+ years of experience in data architecture, data warehousing, or data engineering

·       Experience in life sciences, biotech, or healthcare data (commercial, clinical, RWD, etc.)

·       3+ years of hands-on experience with Snowflake in a solution architecture role

·       Strong expertise in SQL and data modeling (dimensional modeling, data vault, etc.)

·       Experience designing and implementing cloud-based data platforms (Azure preferred, AWS acceptable)

·       Hands-on experience with modern data stack tools (DBT, Databricks, MuleSoft, etc.)

·       Experience integrating complex datasets (e.g., transactional, third-party, semi-structured data)

·       Strong understanding of data governance, data quality, and security best practices

·       Excellent communication skills with ability to interface between business and technical teams

 

Preferred Qualifications

·       Familiarity with HCP/HCO, claims, Rx, or clinical trial datasets

·       Experience with MDM solutions and customer data integration

·       Knowledge of regulatory considerations (e.g., GxP, HIPAA)

·       Snowflake certifications (e.g., SnowPro Core or Advanced)

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