Principal Engineer Data Governance - Hyderabad- Hybrid

Description

Principal Engineer (Data Governance)- Hyderabad- hybrid

Syneos Health® is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities.

Every day we perform better because of how we work together, as one team, each the best at what we do. We bring a wide range of talented experts together across a wide range of business-critical services that support our business. Every role within Corporate is vital to furthering our vision of Shortening the Distance from Lab to Life®.

Discover what our 29,000 employees, across 110 countries already know.

WORK HERE MATTERS EVERYWHERE

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 our Total Self culture – where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people.
• We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives – we’re able to create a place where everyone feels like they belong.
  
  

Job Responsibilities

JOB RESPONSIBILITIES

• Deploy and configure Microsoft Purview to establish end-to-end data governance, including data cataloging, classification, lineage, and access control across structured and unstructured clinical and healthcare datasets.
• Define and implement metadata management frameworks and data stewardship models aligned with HIPAA, GDPR, and internal data privacy, security, AI, and governance policies.
• Integrate Purview with Azure Synapse, Databricks, Azure Data Factory, and various production systems for metadata harvesting, lineage tracking, data classification, and compliance auditing.
• Partner with clinical researchers, data scientists, and business analysts to ensure governed access to trusted datasets and reproducible metrics.
• Support business metric definitions and ontology mapping, enabling accurate reporting and semantic clarity across data collection applications and operational dashboards.
• Collaborate with Privacy, Legal, and Compliance teams to automate data classification, retention, and access monitoring for sensitive data.
• Define and manage data domains, glossaries, and policies using by deploying business-friendly UI and APIs.
• Develop training, documentation, and onboarding processes for new users of Microsoft Purview and related governance tools.
• Monitor and optimize the performance of the data governance infrastructure; troubleshoot integration issues.
• Work with project managers and stakeholders to plan and define how data governance technology will be delivered and measured to achieve business results.
• Instruct and supervise subordinate engineers and analysts that contribute to data governance technology delivery.
  
  

Required

QUALIFICATIONS:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Health Informatics, or related discipline.
• 4+ years of experience in enterprise data governance, data modeling, or data engineering roles that emphasize analytics.
• Hands-on experience with Microsoft Purview and/or Unity Catalog deployment and configuration, including policy and security settings and a commitment to continuous development of these skills.
• Familiarity with privacy-enhancing technologies, data masking, and sensitive data classification strategies.
• Experience collaborating with data scientists and analytics teams on data quality and reproducibility.
  
  

Preferred

• Strong understanding of healthcare data workflows and compliance requirements (HIPAA, GDPR, FDA 21 CFR Part 11).
• Proficiency in Azure Data Services (e.g., ADF, Synapse, Blob Storage), Databricks, and data cataloging best practices.
• Experience with FHIR, OMOP, CDISC, and other healthcare data standards.
• Experience empowering data governance, data architecture, and/or data science roles (e.g. data stewards, data custodians, data architects, computational scientists, etc.).
• Knowledge of data mesh or domain-oriented data architecture principles.
• Experience working in regulated environments such as life sciences, pharma, or clinical trials.
• Excellent written and verbal communications; Solid written and oral presentation skills
• Excellent problem-solving skills, strong communication abilities, and the ability to work collaboratively in a team environment.
• Demonstrated ability to define business use cases and measure / communicate proposed project benefits
  
  

Disclaimer

Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

Get to know Syneos Health

Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.

No matter what your role is, you’ll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health.

http://www.syneoshealth.com

Additional Information

Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

Summary

We are seeking an experienced Principal Engineer - Data Governance with deep expertise in Microsoft Purview and Unity Catalog to lead the deployment, configuration, and optimization of enterprise data governance solutions in support of clinical research, data science initiatives, and regulatory compliance. This role is central to driving data discoverability, lineage, privacy, and policy enforcement across diverse healthcare datasets and analytics platforms, particularly Azure, Databricks, and integrated data collection systems.

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