Syneos Health

Principal Tech Business Architect

Syneos Health

full-time

Posted on:

Location Type: Hybrid

Location: HyderabadIndia

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About the role

  • Collaborate with internal and external customers to understand their goals, strategies, and challenges.
  • Uncover needs that business partners and end users would not be able to articulate on their own.
  • Ensure that technology strategies and solutions are aligned with business objectives and can support future growth.
  • Develop and document technology architecture that supports business processes, including creating models, diagrams, and frameworks.
  • Design scalable and flexible technology solutions that integrate with existing systems and address business needs.
  • Act as a liaison between business units and technology teams, translating business requirements into technical specifications.
  • Quickly adapts to changes in business strategy; Helps business partners communicate solution value to key stakeholders.
  • Engage with stakeholders at all levels to gather input, provide updates, and ensure alignment on STS initiatives.
  • Participate in the development of STS strategies and roadmaps that align with business goals.
  • Assess emerging technologies and industry trends to recommend innovations that could benefit the organization.
  • Provide architectural guidance and oversight for technology projects, ensuring they adhere to the defined architecture.
  • Create and maintain detailed business architectural documentation, including system diagrams, process flows, and technical specifications.
  • Report on the status of architecture initiatives, highlighting progress, risks, and areas needing attention.
  • Provide guidance and training to technology teams and other stakeholders on architecture-related topics.
  • Mentor junior architects and other team members to build architectural expertise within the organization.

Requirements

  • 10+ years in data architecture or data product roles, including work at the principal/architect level.
  • Deep expertise in data modeling, metadata/lineage, MDM, and data quality frameworks.
  • Hands‑on PySpark proficiency for prototyping and performance‑minded data engineering in Databricks/Spark.
  • Experience with modern data platforms (lakehouse architectures, Spark/Databricks) and cloud services for data engineering/ML.
  • Strong grounding in privacy, security, and compliance requirements (HIPAA, GDPR, 21 CFR Part 11/GxP).
  • Excellent communication and stakeholder‑management skills, with the ability to translate complex concepts into clear architectural direction.
Benefits
  • career development and progression
  • supportive and engaged line management
  • technical and therapeutic area training
  • peer recognition
  • total rewards program
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data architecturedata modelingmetadataMDMdata quality frameworksPySparkdata engineeringlakehouse architecturescloud servicesmachine learning
Soft Skills
communicationstakeholder managementmentoringadaptabilitycollaborationproblem-solvingguidancetrainingtranslating requirementsarchitectural direction