Beghouconsulting19d ago

Senior Consultant - Snowflake Architect

PuneFull-timesenior

OtherConsultantArchitectConstruction & Real Estate

3 views0 saves0 applied

Apply Now

Quick Summary

Overview

Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology.

Requirements Summary

Snowflake Certified Architect or equivalent certification. Prior experience with life sciences, pharmaceuticals, or healthcare data. Knowledge of regulatory standards and compliance frameworks (HIPAA, GxP).

Technical Tools

airflowawsazuredbtgcppythonsnowflakesqldata-analysisdatabase-designetlmachine-learningmentoringpeople-managementproject-managementsql-optimization

Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices.

Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes.

Purpose of Job

This role will lead the architecture, design, and deployment of data management solutions within the Snowflake platform. The ideal candidate combines deep technical expertise in Snowflake with the ability to build data systems from the ground up, integrate diverse technologies, and ensure solutions align with both business needs and regulatory standards. Experience with life sciences data is highly desirable, given our focus on industry-specific compliance and analytics.

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.

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.