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Enterprise Data Architect

2 weeks ago


Minneapolis, MN, United States Omni Inclusive Full time
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 HIP nd 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