Enterprise Data Architect

NexivaAustin, TX
Onsite

About The Position

We are seeking a highly experienced and strategic Enterprise Data Architect with 15+ years of hands-on experience in designing, building, and optimizing enterprise-scale data platforms. This pivotal role demands a deep specialization in AWS and Snowflake technologies, coupled with a proven ability to transform fragmented enterprise data into governed, high-performance, and scalable solutions. The ideal candidate will establish long-term data architecture visions, implement robust enterprise governance frameworks, and lead significant cloud-based data modernization initiatives. This role requires a trusted advisor to executive leadership for strategic data initiatives and enterprise-wide transformation programs.

Requirements

  • 15+ years of hands-on experience in designing, building, and optimizing enterprise-scale data platforms.
  • Deep specialization in AWS and Snowflake technologies.
  • Proven ability to transform fragmented enterprise data into governed, high-performance, and scalable solutions.
  • Ability to establish long-term data architecture visions.
  • Experience implementing robust enterprise governance frameworks.
  • Experience leading significant cloud-based data modernization initiatives.
  • Experience as a trusted advisor to executive leadership for strategic data initiatives and enterprise-wide transformation programs.
  • Experience architecting and implementing scalable AWS architectures leveraging services such as S3, Glue, EMR, Lambda, SQS, SNS, Kinesis, and IAM.

Responsibilities

  • Define and execute the enterprise data architecture vision and roadmap for critical business domains.
  • Lead architectural decisions across enterprise data modernization initiatives, balancing technical constraints, scalability, governance, and business priorities.
  • Develop architectural roadmaps and governance frameworks for diverse data platforms.
  • Design end-to-end data lifecycle, from ingestion to transformation, analytics, and archival.
  • Establish enterprise data standards, metadata governance processes, and architectural governance.
  • Serve as a trusted advisor to executive leadership for strategic data initiatives.
  • Architect and implement scalable AWS architectures leveraging services such as S3, Glue, EMR, Lambda, SQS, SNS, Kinesis, and IAM.
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