Enterprise Data Architect

Key Responsibilities:

• Enterprise Data Strategy & Architecture:
  • Design and implement scalable cloud-based data architectures for large enterprises, ensuring security, compliance, and performance.
  • Develop and oversee data governance, data integration, and analytics frameworks to enable enterprise-wide insights.
  • Architect cloud solutions on Azure, leveraging ADF, Data Lake, Snowflake and Databricks for data engineering and analytics.

• On-Prem to Cloud Migration:
  • Lead large-scale ETL and data migrations from legacy on-prem systems (Teradata, Oracle, etc.) to modern cloud-based data platforms like Snowflake and Databricks.
  • Optimize migration workflows using Azure Data Factory (ADF), Databricks, and orchestration tools.
  • Ensure scalability, reliability, and performance optimization in the cloud.

• Data Engineering & Integration:
  • Oversee the ETL/ELT migration strategy, ensuring seamless data movement and transformation.
  • Leverage AI/ML capabilities for conversion and migration
  • Implement best practices in data pipeline design, orchestration, and monitoring.
  • Drive real-time and batch data processing architectures for enterprise analytics.

• Cloud Platform Design & Orchestration:
  • Design cloud-native data platforms integrating structured and unstructured data from multiple sources.
  • Leverage AI/ML capabilities for predictive analytics and business intelligence solutions.
  • Define and enforce data security, access control, and compliance with HIPAA and other healthcare regulations.

• Leadership & Collaboration:
  • Partner with CIOs, CTOs, and Data Officers to align data strategy with business objectives.
  • Lead cross-functional teams of data engineers, solution architects, and DevOps teams to deliver scalable solutions.
  • Establish data governance policies, metadata management, and data quality frameworks.

Required Qualifications & Skills:

• 18-20 years of experience in enterprise data architecture, data engineering, and cloud transformation.
• Expertise in Teradata, Snowflake, and Databricks for large-scale data processing.
• Deep understanding of Azure data services, including Azure Data Factory (ADF), Synapse, Data Lake, and DataBricks.
• Strong experience in ETL/ELT migration, designing modern data pipelines and data orchestration workflows.
• Hands-on experience in cloud platform design, security, and governance.
• Experience in healthcare data architecture, including compliance with HIPAA, HL7, and FHIR standards.
• Proficiency in SQL, Python, Spark, and data modeling.
• Strong leadership, communication, and stakeholder management skills.
• Experience in AI/ML-driven data solutions is a plus.

Preferred Qualifications:

• Certifications in Azure Data Architecture, Snowflake, or Databricks.
• Experience with metadata management, master data management (MDM), and data lineage tracking.
• Exposure to real-time data processing, Cloud Migration and big data solutions