Senior Data Architect

Lumicity; United States; On-site; USD 120,000 - 150,000; Full time

Job summary

Lumicity is seeking a Senior Data Architect for a 6-month contract with strong extension potential. This hands-on role focuses on modern cloud-native data architecture, including design decisions and data strategy. The ideal candidate should have over 7 years of experience in data architecture, familiarity with Azure, AWS, or GCP, and strong proficiency with Databricks and Delta Lake. Excellent communication skills and experience with semantic modeling are essential. You'll collaborate closely with various teams to implement scalable solutions across enterprise environments.

Qualifications

• 7+ years of experience in data architecture or senior data engineering.
• Strong hands-on experience with a major cloud platform.
• Proven experience with Databricks and Delta Lake in production environments.
• Semantic modeling expertise with LookML or Power BI.
• Solid understanding of Lakehouse and Medallion architecture patterns.

Responsibilities

• Design and implement scalable, cloud-native data architectures.
• Lead Lakehouse and Medallion architecture design.
• Build and optimize semantic models for business intelligence.
• Integrate AI and LLM capabilities into data pipelines.
• Collaborate with data engineering and business stakeholder teams.

Skills

Data architecture

Cloud platforms (Azure, AWS, GCP)

Databricks and Delta Lake

Semantic modeling

Data orchestration tools

Python

SQL

Communication skills

Tools

Databricks

Apache Airflow

dbt Core

LookML

Power BI

Job description

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
• 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
• 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