For our client, we are seeking a Senior Lead Data Engineer (Remote) to join the team of a leader in the Pharmaceuticals & Biotech space.
This role will shape the enterprise data engineering direction for a global organization, with a focus on scalable cloud data architecture and high-quality data delivery. You will partner closely with technical stakeholders and business teams to translate complex operational needs into reliable data solutions. The position also calls for mentoring others, setting engineering standards, and advancing AI-enabled improvements across the data ecosystem.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $118,000 – $196,700 annually
Responsibilities
Lead architectural development of enterprise data platforms
Define and execute a multi-year data engineering strategy
Design and optimize Azure-based data solutions
Harmonize data across multiple ERP systems into common models
Collaborate with stakeholders to translate business needs into data solutions
Establish engineering standards and mentor team members
Implement AI-enabled approaches to improve data processes
Qualifications
Bachelor's degree in a relevant field such as Computer Science or Data Engineering
6+ years of experience in data engineering or related areas
Proven experience with enterprise cloud data platforms
Hands-on experience with Azure technologies, including Databricks and Azure Data Factory
Strong SQL and Python proficiency, with experience in distributed frameworks such as Spark
Knowledge of designing ETL/ELT pipelines and data architectures
Experience with API integrations and production support practices
Benefits
Flexible remote work arrangement
Opportunities for mentoring and leadership development
Engagement with a variety of technical stakeholders and business areas
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.