Enterprise Data Architect

TechDigital Group; Minneapolis (MN); On-site; USD 120,000 - 180,000; Full time

Job summary

An established industry player is seeking an experienced Data Architect to lead enterprise data strategies and cloud transformations. In this pivotal role, you will design and implement scalable cloud-based data architectures while ensuring compliance and performance. You will oversee data migrations from legacy systems to modern platforms, leveraging tools like Azure Data Factory and Snowflake. Collaborating with senior executives, you will align data strategies with business goals and lead cross-functional teams to deliver innovative solutions. If you are passionate about data architecture and want to make a significant impact in a dynamic environment, this opportunity is for you.

Qualifications

• 18-20 years of experience in enterprise data architecture and cloud transformation.
• Expertise in Teradata, Snowflake, and Databricks for large-scale data processing.

Responsibilities

• Design and implement scalable cloud-based data architectures for large enterprises.
• Lead large-scale ETL and data migrations from legacy systems to cloud platforms.

Skills

Enterprise Data Architecture

Data Engineering

Cloud Transformation

ETL/ELT Migration

Azure Data Services

SQL

Python

Spark

Leadership Skills

Communication Skills

Education

Bachelor's Degree in Computer Science or related field

Tools

Azure Data Factory

Snowflake

Databricks

Teradata

Job description

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