Principal Data Engineer- Hyderabad (Hybrid)

Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a closely related field.
• Minimum of ten (10) years of progress

Benefits

Additional Information

Principal Data Engineer- Hyderabad (Hybrid) Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress. Every day we perform better because of how we work together, as one team, each the best at what we do. We bring together talented experts across a broad spectrum of business critical corporate functions. Every role plays an essential part in enabling our customers to achieve their goals. Our teams are agile, collaborative, and committed to delivering-for each other, for our customers, and ultimately for the people who rely on the services we support. Discover what your 25,000 future colleagues already know: Why Syneos Health - We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. - We are committed to building an inclusive culture - where you can authentically be yourself. Central to this is our purpose - Driven to Deliver - which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone's life. - We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress. Job Responsibilities Job Summary The Principal Data Engineer is a senior technical leader responsible for setting the strategic direction, architectural vision, and execution of the organization's enterprise data engineering initiatives. This role oversees the design, implementation, and optimization of large-scale, complex data platforms that support advanced analytics, artificial intelligence, and business intelligence solutions. The Principal Data Engineer guides the adoption of state-of-the-art data technologies and methodologies, ensuring robust, scalable, and secure data pipelines that seamlessly integrate structured and unstructured data sources across the organization. In addition to hands-on technical contributions, this position provides thought leadership, mentors engineering teams, and collaborates with executive stakeholders to align data engineering strategies with organizational goals. The Principal Data Engineer also leads research and innovation to continuously advance the company's data engineering capabilities and competitive advantage. Job Responsibilities Demonstrate extensive hands-on experience with Azure Databricks, Apache Spark, Azure Data Factory (ADF), using these technologies to build, optimize, and scale enterprise data solutions. Exhibit deep expertise in designing and implementing robust ingestion logic, frameworks, and pipelines across diverse source systems, using ADF, Databricks, and related tools to ensure seamless data flow and integration. Lead the design and strategic planning of enterprise-wide data platforms, ensuring alignment with business objectives, scalability, and future-proofing against emerging trends. Direct the development, optimization, and governance of advanced data pipelines and frameworks, supporting high-volume, high-velocity, and high-variety data streams for analytics, machine learning, and operational workloads. Collaborate with executive leadership, product managers, and cross-functional teams to define data engineering roadmaps, drive major digital transformation initiatives, and ensure successful integration of data-driven solutions into production environments. Establish and enforce best practices and standards for data architecture, quality, security, and compliance, including data governance, data lineage, and privacy regulations. Oversee the creation and maintenance of comprehensive documentation for data models, storage solutions, and data pipelines, ensuring knowledge transfer and operational excellence. Mentor and coach data engineers, fostering a culture of high performance, technical excellence, and continuous professional growth within the data engineering organization. Evaluate, recommend, and drive adoption of cutting-edge technologies, frameworks, and methodologies in the data engineering landscape, including cloud-native solutions, real-time data processing, and automation. Lead advanced research and prototyping efforts to identify innovative opportunities for using data assets, improving operational efficiency, and strengthening the company's data-driven decision-making capabilities. Qualification Requirements

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