Principal Software Engineer

Parexel is seeking a highly experienced Principal Data Engineer to architect, develop, and optimize enterprise-grade data pipelines and platforms using Azure, Databricks, Snowflake and Power BI. This role is pivotal in transforming raw data into actionable insights and building a resilient, scalable data ecosystem that supports business-critical functions across clinical and operational domains.

Key Responsibilities:

• Architect and implement end-to-end data pipelines using Azure Data Factory, Databricks, and Snowflake for large-scale data ingestion, transformation, and storage.
• Using Microsoft Azure data PaaS services, design, build, modify, and support data pipelines leveraging DataBricks and PowerBI in a medallion architecture setting
• If necessary, create prototypes to validate proposed ideas and solicit input from stakeholders
• Excellent grasp of and expertise with test-driven development and continuous integration processes
• Analysis and Design – Converts high-level design to low-level design and implements it
• Collaborate with Team Leads to define/clarify business requirements, estimate development costs, and finalize work plans
• Run unit and integration tests on all created code – Create and run unit and integration tests throughout the development lifecycle
• Benchmark application code proactively to prevent performance and scalability concerns
• Collaborate with the Quality Assurance Team on issue reporting, resolution, and change management
• Support and Troubleshooting – Assist the Operations Team with any environmental issues that arise during application deployment in the Development, QA, Staging, and Production environments
• Familiarity with PowerBI and Reltio is advantageous but not required
• Collaborate with BI teams to ensure data models are optimized for reporting in Power BI, with a focus on performance and usability.
• Establish data governance, quality, and security controls, ensuring compliance with GDPR, HIPAA, and global clinical data regulations.
• Mentor and guide junior engineers, fostering technical excellence and knowledge sharing.
• Drive automation and CI/CD practices within data engineering pipelines, integrating with version control and deployment workflows.
• Work closely with Data Architects, Business Analysts, and Product Owners to translate business needs into technical solutions.

Required Qualifications:

• Experience: 10+ years of data engineering experience, with at least 4 to 5 years hands-on in Azure, Databricks, and Snowflake; experience with Reltio and Power BI integration is highly desirable.
• Education: Bachelor’s or master’s degree in computer science, Information Systems, Engineering, or a related field.

Skills:

• Expert-level knowledge of Azure Data Factory, Databricks, and Snowflake.
• Understanding of quality processes and estimate methods
• Understanding of design concepts and architectural basics
• Fundamental grasp of the project domain
• The ability to transform functional and nonfunctional needs into system requirements.
• The ability to develop and code complicated applications is required.
• The ability to create test cases and scenarios based on specifications.
• Solid knowledge of SDLC and agile techniques
• Knowledge of current technology and trends
• Logical thinking and problem-solving abilities, as well as the capacity to collaborate
• Primary skills: Cloud Platform, Azure, Databricks, ADF, ADO
• Sought: SQL, Python, PowerBI
• General Knowledge: PowerApps, Java/Spark, Reltio
• 10-12 years of experience in software development with minimum 4+years of cloud computing
• Proven experience in building BI-ready datasets and performance tuning in Power BI.
• Proficient in SQL, Python, and cloud-native architecture.
• Strong grasp of data security, privacy compliance, and best practices in a regulated environment.