Lead Data Engineer

Roles & Responsibilities

• Collaborate with client stakeholders and cross-functional teams to understand business requirements and translate them into technical solutions.
• Design and support implementation of data engineering and analytics solutions for pharmaceutical use cases.
• Work on data pipelines, data integration, and platform enablement to support analytics and reporting needs.
• Ensure data solutions align with pharma business processes, including commercial, clinical, or patient data workflows.
• Provide consultative recommendations to improve data architecture, analytics capabilities, and decision-making processes.
• Support delivery teams in ensuring data quality, scalability, and performance of solutions.
• Participate in solution design discussions, architecture reviews, and client presentations.
• Collaborate with data scientists and analysts to enable advanced analytics and insights generation.
• Ensure adherence to best practices in data engineering, governance, and compliance within a regulated environment.

Skills Required

• 7+ years of experience in understanding of data engineering concepts, including ETL/ELT pipelines, data modeling, and data integration.
• Experience with cloud platforms (AWS, Azure, or GCP) and modern data ecosystems.
• Familiarity with tools such as Python, SQL, Spark, Databricks, Snowflake, or similar technologies.
• Experience working with data orchestration tools (Airflow, ADF, etc.) is a plus.
• Understanding of data governance, data quality, and scalable architecture design.
• Experience in the pharmaceutical or life sciences industry is required.
• Familiarity with pharma data types such as commercial data, patient data, clinical data, or real-world evidence (RWE).
• Understanding of regulatory and compliance requirements in pharma environments is a plus.
• Strong problem-solving and analytical thinking.
• Excellent communication and stakeholder management skills.
• Experience working in client-facing consulting engagements.
• Ability to work in cross-functional and matrixed environments.