What are the responsibilities and job description for the Enterprise Data Architect position at Shrive Technologies LLC?
Job Details
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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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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