Senior Software Engineer

Parexel is seeking a highly experienced Senior Software Engineer to architect, develop, and optimize enterprise-grade data pipelines and platforms using Azure, Databricks, Snowflake, Denodo, 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.

• Design and maintain virtualization layers using Denodo to ensure seamless data access across varied source systems.

• 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.

• Lead cost optimization and performance tuning initiatives for cloud data workflows across Azure and Snowflake.

• 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: 7+ years of data engineering experience, with at least 4 years hands-on in Azure, Databricks, and Snowflake; experience with Denodo 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.

• Strong understanding of data virtualization concepts (Denodo experience preferred).

• 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.