Enterprise Architect - Healthcare

What Youll Do:

• Build deep expertise in a broad set of data technologies and platforms, such as Azure, AWS, Databricks, Snowflake, and Hadoop.
• Design robust and scalable solutions consistent with ZS and industry practices; take advantage of the existing assets and maintain a balance between architecture requirements and specific client needs.
• Drive technical architecture and design discussions with internal and client groups to brainstorm and finalize technology solutions.
• Stay current on latest technological trends and architecture patterns and lead the effort to develop ZS POV for strategic decision-making.
• Advance ZS technology offerings by innovating and scaling tech assets, driving feasibility analysis to select technologies/platforms that provide the best solution;
• Define and evangelize the adoption of Data Architecture capabilities and standards and build architectural data processes that create repeatable and reusable capabilities to build connected data;
• Define and establish a technical strategy, standards, and guidelines in the data architecture domain;
• Work with the delivery team to put together a plan for technical implementation with and stay on track;
• Groom junior team members and maintain a culture of rapid learning and explorations to drive innovations / POCs on semantic technologies and architecture patterns;

What Youll Bring:

• Bachelor's degree with specialization in Computer Science, IT or other computer related disciplines;
• 13+ years of relevant experience in designing data engineering solutions on an enterprise-scale for Health Payers and Provider space;
• Specializes in architecting modern data ecosystems leveraging technologies such as

  Azure, AWS, Databricks, Snowflake, and Hadoop

  .
• Demonstrated expertise in building scalable data pipelines, real-time streaming architectures, and enterprise-grade data lakes and warehouses.
• Proficient in data modelling, ingestion frameworks, and data governance, including security, lineage, and compliance (

  HIPAA, HITRUST, GDPR

  ).
• Experienced in guiding teams through complex data migrations, modernization efforts, and platform re-architectureoften transitioning legacy systems (e.g., Teradata, Oracle, Hive) to cloud-native platforms with significant performance and cost optimizations.
• Known for cross-functional leadership in aligning business needs with technical roadmaps, enabling analytics, AI/ML, and decision intelligence.
• Skilled in Agile delivery models, stakeholder management, and building Centres of Excellence (CoEs) to drive innovation in data engineering practices.

Additional Skills

• Thought leadership in the form of articles, blogs, forums, papers etc. on data engineering will be preferred.
• Experience in key components like data governance & curation, data quality and master data management, data integration, data virtualization, self-service interaction for data preparation and testing is a plus.