Senior Data Architect

The Details

❌ Not open to third-party agencies

📍 Fully remote within the US

📅 6-month contract with strong extension potential

✅ Must be authorized to work in the US

About the Role

We are looking for a Senior Data Architect to join a high-impact data initiative on a contract basis. This is a hands-on architecture role working within a modern cloud-native data environment, with real influence over design decisions and data strategy.

If you're an experienced Data Architect who thrives in fast-moving environments and wants to work on genuinely interesting problems across cloud platforms, semantic modeling, and AI/LLM integration — this is worth your time.

What You'll Be Doing

• Designing and implementing scalable, cloud-native data architectures across enterprise environments

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• Leading Lakehouse and Medallion architecture design using Databricks and Delta Lake
• Building and optimizing semantic models to support business intelligence and advanced analytics
• Integrating AI and LLM capabilities into existing data pipelines and architecture
• Collaborating with data engineering, analytics, and business stakeholder teams
• Defining data modeling standards, best practices, and governance frameworks
• Advising on platform selection and cloud data strategy across Azure, AWS, or GCP

What We're Looking For

Required:

• 7+ years of experience in data architecture or senior data engineering

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• Strong hands-on experience with at least one major cloud platform — Azure (Synapse, Fabric, ADF), AWS (Redshift, Glue, Lake Formation), or GCP (BigQuery, Dataflow)
• Proven experience with Databricks and Delta Lake in production environments
• Semantic modeling expertise — dbt metrics layer, LookML, Microsoft Analysis Services, or Power BI semantic models
• Solid understanding of Lakehouse and Medallion architecture patterns
• Experience with data orchestration tools — Apache Airflow, dbt Core, or Kafka
• Strong Python or SQL skills
• Excellent communication skills with the ability to present to senior stakeholders

Nice to Have:

• Hands-on AI/LLM experience — RAG pipelines, Azure OpenAI, LangChain, or vector databases (Pinecone, Weaviate)
• Relevant certifications — Databricks Certified, Azure DP-203, AWS Data Analytics
• Prior consulting experience
• Experience with Microsoft Fabric