Lead the architecture, design, and deployment of data management solutions within Snowflake platform. Combining deep technical expertise in Snowflake with data system development for life sciences data.
Responsibilities
Design, implement, and optimize Snowflake environments for scalability, security, and cost-effectiveness.
Lead the build-out of full Snowflake data ecosystems, including ingestion, pipelines, transformation, governance, and cataloging.
Connect Snowflake to third-party tools (ETL/ELT platforms, BI tools, APIs, cloud services) and ensure seamless data flow.
Architect high-performing, scalable data models to support advanced analytics, reporting, and machine learning.
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.
Requirements
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).
Benefits
Foster an innovative and inclusive team-oriented work environment.
Promotes employee engagement, recruiting, training, and providing ongoing education, employee mentorship and coaching.
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