Clinical Data Engineer/Enablement

SIRO; Mexico; On-site; PHP 7,326,000 - 10,989,000; Full time

Job summary

SIRO is seeking a Clinical Data Enablement Senior Manager to lead end-to-end data pipelines across cloud data lake and warehouse environments. You will build scalable ETL/ELT capabilities, automate integrations, and ensure compliant, timely delivery of clinical data products.

The role requires strong SQL, data modelling, and Python expertise, plus experience with cloud platforms and data standards. You will partner with internal stakeholders and vendors, drive operational excellence, and mentor

Qualifications

• BS/BA in CS/IS/Data Science or equivalent with 7+ years in data engineering and multi-source data integration.
• Strong SQL, data modelling, and data quality controls; familiarity with CDISC/SDTM preferred.
• Proficiency in Python (or R) and experience building production pipelines with testing, logging, and monitoring.
• Experience with cloud platforms (AWS) and data warehouse/lake technologies; Jira/Confluence required.

Responsibilities

• Operate and continuously improve end-to-end clinical data pipelines in cloud lake/warehouse environments.
• Build scalable ETL/ELT capabilities and automate integrations with strong error handling.
• Drive operational excellence via monitoring, incident management, and KPI dashboards.
• Partner with vendors and cross-functional teams to define data transfer specs and interfaces.

Skills

SQL & data modelling

Python

NoSQL

Data integration patterns

Jira/Confluence

Education

BS/BA in CS/IS/Data Science

Tools

Power BI

Tableau

GitHub/GitLab

Snowflake

Databricks

Redshift

Job description

• Objective / Purpose: The Clinical Data Enablement Senior Manager FSP is responsible for operating and continuously improving end-to-end clinical data pipelines across cloud-based data lake and data warehouse environments. This role builds scalable ingestion and transformation capabilities, partners closely with internal stakeholders and external vendors, and ensures reliable, compliant delivery of clinical data products to downstream consumers

Accountabilities:

• Support end-to-end clinical data pipelines across lake/warehouse environments (build, run, monitor, maintain, troubleshoot) to ensure stable, performant, traceable operations.
• Drive operational excellence through monitoring/alerting, incident management, root‑cause analysis, and corrective/preventive actions.
• Build and scale cloud ETL/ELT capabilities (AWS/Azure) for efficient ingestion, transformation, orchestration, and delivery.
• Automate integrations and run operations (scheduling, metadata‑driven pipelines, automated quality checks) to improve reliability and timeliness.
• Partner with vendors and cross‑functional teams to define data transfer specifications, acceptance criteria, and integration patterns; implement integrations with robust error handling and reconciliation.
• Serve as an SME for structured and unstructured data integration, driving continuous improvements through stakeholder feedback and evolving requirements.
• Partner with downstream teams (Stat Programming, SDTM, Analytics, Clinical Data Programming) to deliver fit‑for‑purpose datasets and interfaces (format, structure, cadence).
• Ensure on‑time, high‑quality delivery to agreed specifications; establish and manage SLAs/OLAs as needed.
• Contribute to on‑time, high‑quality delivery against agreed specifications and participate in tracking and reporting operational KPIs (e.g., timeliness, success rate, defects) through dashboards and metrics.
• Help to build the dashboard and metrics for oprational effectiveness
• Design and deliver GxP‑aligned clinical data engineering solutions with lifecycle documentation, traceability, and audit‑ready evidence.
• Embed data integrity controls (e.g., ALCOA+) and support validated operations via change control, incident/deviation documentation, periodic review, and inspection readiness.
• Collaborate with Quality/Compliance/IT to implement appropriate access controls, logging/audit trails (as applicable), and operating controls.

Education & Competencies (Technical and Behavioral):

• Education/Experience: BS/BA (or equivalent) plus 7+ years in data engineering, pipeline development/operations, and multi‑source data integration (clinical/biopharma preferred).
• Core skills: Strong SQL, data modeling, and data quality controls; working knowledge of NoSQL and integration patterns.
• Programming/SDLC: Proficiency in Python (preferred) or R; experience building production pipelines (testing, logging, monitoring); familiarity with SDLC practices; Jira/Confluence required.
• Data Standards: Knowledge of CDISC, CDASH, and SDTM standards preferred.
• Visualization & Reporting (for Reporting role): Hands‑on experience designing and supporting operational dashboards and data visualizations using tools such as Power BI, Tableau, and/or QlikView, with an understanding of data refresh, access controls, and performance considerations.
• Data Formats and Interfaces: Hands‑on with CSV, JSON, XML, and API/file‑based integrations.
• Cloud/platforms: Cloud experience (e.g., AWS such as EC2/EMR/RDS/Redshift/Apache Spark) and related platforms (e.g., Snowflake, Databricks). Pipeline and platform expertise: reusable ELT/ETL frameworks; data warehouse/data lake technologies (e.g., Snowflake, Amazon Redshift); large‑scale pipeline performance and maintenance.
• DevOps: GitHub/GitLab version control; CI/CD exposure preferred.
• GxP & Data integrity: Experience working in GxP‑regulated environments with change control/audit readiness expectations; ability to embed data integrity controls into pipelines and operations.
• Ways of working: mentor junior engineers/FSPs; independent and collaborative problem‑solving; ability to prioritize in a fast‑paced environment and deliver to deadlines.
• Working style: Strong collaboration and communication; organized, self‑directed, proactive problem‑solver.
• Prior regulatory inspection experience preferred.
• Preferred: AWS/Azure and/or Python certification.