We are seeking a seasoned Data Engineering Senior Manager to lead the development and maintenance of data pipelines with a deep domain expertise in HR / Finance data . This role will oversee a high-performing team of data engineers, driving best practices in data engineering, cloud technologies, and Agile development. The ideal candidate will have a strong technical background, a focus on operational excellence, and a passion for optimizing data-driven decision-making within the biotech / pharma industry.
Roles & Responsibilities
- Leadership & Team Management : Lead and mentor a high-performing team of data engineers, driving the development of data tools and frameworks. You will coach engineers on best practices for monitoring pipeline health and implementing self-healing solutions to improve stability.
- Data Pipelines & Performance : Oversee the implementation of performance monitoring protocols across data pipelines, ensuring real-time visibility, alerts, and automated recovery mechanisms. You will guide engineers in data modeling, metadata management, and access control.
- Agile & Strategic Collaboration : Drive Agile and Scaled Agile (SAFe) methodologies, managing sprint backlogs and prioritization to enhance team velocity. You will collaborate with business leaders, product owners, and cross-functional teams to align data architecture with product requirements and business objectives.
- Governance & Best Practices : Oversee data governance strategies, ensuring compliance with security policies and regulations. You will also stay up-to-date with emerging data technologies and industry trends to ensure the organization leverages the latest innovations.
Qualifications
12-15 years of experience in Computer Science, IT, or a related field.Experience managing a team of data engineers, preferably in a biotech / pharma domain with a focus on HR / Finance data .Demonstrated hands-on experience with cloud platforms ( AWS, GCP, or Azure ) and the ability to architect cost-effective and scalable data solutions.Proficiency in Python, PySpark , and SQL .Experience with dimensional data modeling and working with tools like Apache Spark and Apache Airflow .Experience with software engineering best practices, including version control ( Git ), CI / CD , and DevOps .Certifications such as AWS Certified Data Engineer, Databricks Certificate , or Scaled Agile SAFe are preferred.Soft Skills
Leadership : Strong leadership, presentation, and public speaking skills, with the ability to manage multiple priorities successfully.Problem-Solving : Strong analytical and problem-solving skills to address complex data challenges and help team members with stakeholder discussions.Communication : Excellent verbal and written communication skills to collaborate effectively with cross-functional and global teams.Initiative : A high degree of initiative and self-motivation, with a focus on achieving team goals.Skills Required
data engineering , Agile Development, Data Pipeline, Scaled Agile Framework, cloud platform , Data Modeling