Senior Data & AI Platform Architect (Snowflake/Fabric)

Top Tempo Technical

Dallas (TX)

On-site

USD 160,000 - 220,000

Full time

5 days ago
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Job summary

Top Tempo Technical is seeking a Senior Solutions Architect to lead enterprise data platform modernization and governance from Dallas, TX. You will drive Snowflake, Microsoft Fabric, and lakehouse architectures, shaping data products for BI and AI initiatives.

The role blends strategic leadership with hands-on implementation, including data modeling, governance, and MDM principles, collaborating with stakeholders across technology and business to deliver scalable, reliable data foundations.

Qualifications

  • 15+ years in data engineering, architecture, or analytics.
  • 5+ years hands-on Snowflake experience.
  • Experience with Microsoft Fabric or Azure Synapse Analytics.
  • Proven ability to design enterprise-scale data lakehouse architectures.
  • Hands-on data modeling, ETL/ELT, and data warehouse concepts.
  • Strong communication with technical and business teams.

Responsibilities

  • Lead enterprise architecture and modernization for Snowflake and Fabric.
  • Review production Snowflake implementations and dbt models.
  • Design scalable data lakehouse architectures and data products.
  • Ensure governance, data quality, and lineage across BI/AI.
  • Collaborate with stakeholders and vendors to deliver plans.
  • Translate complex choices into actionable roadmaps.

Skills

Data engineering
Data architecture
Snowflake
dbt
ETL/ELT
MDM
Data governance
AI/ML
Communication

Tools

Snowflake
Microsoft Fabric
Azure Synapse Analytics
dbt
Power BI

Job description

Top Tempo Technical is seeking a Senior Solutions Architect to lead enterprise data platform modernization and governance from Dallas, TX. You will drive Snowflake, Microsoft Fabric, and lakehouse architectures, shaping data products for BI and AI initiatives.

The role blends strategic leadership with hands-on implementation, including data modeling, governance, and MDM principles, collaborating with stakeholders across technology and business to deliver scalable, reliable data foundations.

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