Senior Consultant - Snowflake Architect

We'll trust you to:

Snowflake Architecture & Optimization: Design, implement, and optimize Snowflake environments for scalability, security, and cost-effectiveness. 
End-to-End Data Management: Lead the build-out of full Snowflake data ecosystems, including ingestion, pipelines, transformation, governance, and cataloging. 
Integration & Ecosystem Design: Connect Snowflake to third-party tools (ETL/ELT platforms, BI tools, APIs, cloud services) and ensure seamless data flow. 
Data Modeling & Analytics Enablement: Architect high-performing, scalable data models to support advanced analytics, reporting, and machine learning. 
Governance & Compliance: Implement robust security controls, audit mechanisms, and data governance frameworks tailored to regulated industries (HIPAA, GxP, GDPR). 
Coordinates with diverse teams, including those globally. 
Frequently utilizes coding to facilitate data processing and reporting. 
Provides project leadership for team members regarding process improvements, planned approaches for client requests, or transition of new deliverables. 
Monitors progress, manages risk and ensures key stakeholders are kept informed about progress and expected outcomes; manages project finances by maintaining financial summaries, drafts SOWs for new work, and manages client invoices. 
Assists in supporting management, including promoting employee engagement, recruiting, training, and providing ongoing education, employee mentorship and coaching; contributes to internal initiatives as needed. 
Fosters an innovative and inclusive team-oriented work environment. 
Coaches and mentors junior team members on their professional development and serves as their Professional Development Manager. 
Grows external client engagements, owning aspects of the relationship between the client and the firm. 
These essential functions are not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required. Duties, responsibilities, and activities may change or new ones may be assigned at any time with or without notice. 

You'll need to have:

Engineering/master’s degree from a Tier-I/Tier-II institution/university in Computer Science or a relevant concentration, with evidence of strong academic performance. 
5+ years of experience in data engineering/architecture roles. 
Minimum 3+ years of hands-on Snowflake experience. 
Expert-level SQL and strong Python scripting abilities. 
Proven knowledge of query optimization, workload management, and Snowflake-specific features (virtual warehouses, clustering, micro-partitioning). 
Proficiency with ETL/ELT platforms (dbt, Informatica, Talend, Matillion, Fivetran). 
Experience with orchestration tools (Airflow, Prefect, Dagster). 
Familiarity with at least one major cloud platform (AWS, Azure, GCP). 
Strong project management and people management skills. 
Advanced analytical and problem-solving abilities. 
Excellent organisational, time management, and communication skills. 
Knowledge of data management best practices in the pharmaceutical industry. 
Ability to thrive in an international matrix environment and willingness to support US clients during US working hours with 3-4 hours of overlap. 
 
Preferred Qualifications 
Snowflake Certified Architect or equivalent certification. 
Prior experience with life sciences, pharmaceuticals, or healthcare data. 
Knowledge of regulatory standards and compliance frameworks (HIPAA, GxP). 
Strong stakeholder engagement and leadership skills.