Principal Data Engineer

**Career Category** ------------------- Engineering **Job Description** ------------------- **Job Description** ABOUT THE ROLE   Role Description:   Let’s do this. Let’s change the world. We are looking for highly motivated expert Principal Data Engineer who can own the design & development of complex data pipelines, solutions and frameworks. The ideal candidate will be responsible to design, develop, and optimize data pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics. This role prefers deep expertise in big data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management.   Roles & Responsibilities: * Architect and maintain robust, scalable data pipelines using Databricks, Spark, and Delta Lake, enabling efficient batch and real-time processing.  * Lead efforts to evaluate, adopt, and integrate emerging technologies and tools that enhance productivity, scalability, and data delivery capabilities.  * Drive performance optimization efforts, including Spark tuning, resource utilization, job scheduling, and query improvements.  * Identify and implement innovative solutions that streamline data ingestion, transformation, lineage tracking, and platform observability.  * Build frameworks for metadata-driven data engineering, enabling reusability and consistency across pipelines.  * Foster a culture of technical excellence, experimentation, and continuous improvement within the data engineering team.  * Collaborate with platform, architecture, analytics, and governance teams to align platform enhancements with enterprise data strategy.  * Define and uphold SLOs, monitoring standards, and data quality KPIs for production pipelines and infrastructure.  * Partner with cross-functional teams to translate business needs into scalable, governed data products.  * Mentor engineers across the team, promoting knowledge sharing and adoption of modern engineering patterns and tools.  * Collaborate with cross-functional teams, including data architects, business analysts, and DevOps teams, to align data engineering strategies with enterprise goals.  * Stay up to date with emerging data technologies and best practices, ensuring continuous improvement of Enterprise Data Fabric architectures.  Must-Have Skills: * Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies. * Proficiency in workflow orchestration, performance tuning on big data processing. * Strong understanding of AWS services * Experience with Data Fabric, Data Mesh, or similar enterprise-wide data architectures. * Ability to quickly learn, adapt and apply new technologies * Strong problem-solving and analytical skills * Excellent communication and teamwork skills * Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices.   Good-to-Have Skills: * Good to have deep expertise in Biotech & Pharma industries * Experience in writing APIs to make the data available to the consumers * Experienced with SQL/NOSQL database, vector database for large language models * Experienced with data modeling and performance tuning for both OLAP and OLTP databases * Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops   Education and Professional Certifications * 12 to 17 years of experience in Computer Science, IT or related field  * AWS Certified Data Engineer preferred * Databricks Certificate preferred * Scaled Agile SAFe certification preferred   Soft Skills: * Excellent analytical and troubleshooting skills. * Strong verbal and written communication skills * Ability to work effectively with global, virtual teams * High degree of initiative and self-motivation. * Ability to manage multiple priorities successfully. * Team-oriented, with a focus on achieving team goals. * Ability to learn quickly, be organized and detail oriented. * Strong presentation and public speaking skills. .