Description

Lead Snowflake Data Architect specializing in the healthcare and biopharma industries. I architect scalable data ecosystems that transform complex data from APCM medical billing to high-velocity telemetry streams, into high-performance environments for advanced organizational decision-making.

Currently operating as a senior B2B consultant and registered autónomo in Spain, I partner with EU organizations to lead migrations and optimize the Snowflake AI Data Cloud. My focus is on building "AI-ready" data foundations, ensuring rigorous governance in highly regulated sectors, and implementing FinOps strategies to maximize platform ROI. Beyond biopharma, I am passionate about exploring the frontiers of "Data Clean Rooms" and cross-platform orchestration to drive the next generation of data-driven innovation.

Core Expertise:

Agentic AI: Expert Snowflake agentic engineer

Snowflake Architecture & Strategy: Expert-level design of multi-petabyte environments focused on concurrency, performance, and long-term scalability.

Biopharma & Healthcare Data: Navigating the intersection of complex medical data modeling and strict regulatory compliance to streamline decision-making.

Advanced Data Engineering: Proficient in SQL and Python for developing robust pipelines, custom Streamlit applications, and telemetry data analysis.

Strategic FinOps & Governance: Implementing granular cost-reduction frameworks and security guardrails for enterprise-level Snowflake migrations.

Languages

English
Native or bilingual

Workplace preferences

Can work on-site

Barcelona (up to 50km)

Bayer - Pharmaceutical and Crop Science
Sr. Data Architect
BIOTECH
November 2020 - Today (5 years and 7 months)
Architected a GxP-compliant Snowflake Data Cloud environment to support clinical trial reporting and regulatory submissions, ensuring seamless integration with Veeva Vault RIM.
Designed a hybrid Snowflake Data Mesh governance model, balancing domain
ownership with centralized oversight to support scalable data stewardship across R&D and Medical Affairs.
Implemented Snowflake Dynamic Data Masking and Row-Level Security policies to enforce strict access controls, ensuring full alignment with FDA 21 CFR Part 11 and global GxP standards. Enabled end-to-end metadata-driven data lineage using Snowflake Object Tagging and Data Catalogs, ensuring complete traceability of regulatory data assets across therapeutic domains.
Optimized data pipelines using Snowpipe and AWS Glue for the ingestion of structured product labeling (SPL) and pharmacovigilance data, reducing latency for regulatory reporting. Leveraged Snowflake Time Travel and zero-copy cloning to facilitate audit-ready data snapshots for regulatory inspections without duplicating storage costs. Partnered with global teams to build a Snowflake-backed architecture for eCTD submission packages, reducing manual effort in regulatory documentation workflows.
artificial intelligence Agents ETL Snowflake Data Engineer
Andor Health
Sr. Data Architect (Contract)
July 2018 - November 2020 (2 years and 4 months)
Led the architecture of a HIPAA-compliant Snowflake data platform integrating EHR data (Epic, Cerner), claims, and real-world evidence (RWE) for AI-driven virtual health applications. Utilized Snowflake Secure Data Sharing to securely exchange patient data between hospitals and payers without data movement, accelerating collaborative analytics. Implemented Snowpipe for real-time streaming of remote patient monitoring device data, enabling predictive analytics for disease progression and treatment efficacy. Designed strict Role-Based Access Control (RBAC) models within Snowflake to
manage access to PHI/PII data, ensuring compliance with 21 CFR Part 11 for electronic records.
Developed dbt transformations within the Snowflake environment to standardize diverse EHR data formats into a unified Common Data Model (CDM) for clinical analytics. Established automated data quality checks within Snowflake tasks to validate incoming telemetry data, ensuring the integrity of AI-assisted diagnostic models.
Gulfstream Aerospace
Database Architect
July 2018 - November 2020 (2 years and 4 months)
Engineered a highly scalable Snowflake data warehouse to consolidate manufacturing traceability data, supporting aircraft certification processes and FAA regulations. Migrated legacy on-premise data systems to Snowflake on Azure, enhancing analytics capabilities for fleet health monitoring and pilot performance. Implemented Snowpipe and Azure Data Factory pipelines to ingest high-volume telemetry data from flight systems, enabling real-time anomaly detection. Established governance policies within Snowflake to ensure compliance with ITAR and DFARS regulations regarding sensitive technical data.