In short
We are a global technology company, home to more than 226,000+ people across 60 countries, delivering industry-leading capabilities centered around AI, digital, engineering, cloud…
PYTHONAWSAZUREGCPDATABRICKS
📋 About the job
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LocationCharlotte, NC
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Work modeOnsite
We are a global technology company, home to more than 226,000+ people across 60 countries, delivering industry-leading capabilities centered around AI, digital, engineering, cloud and software, powered by a broad portfolio of technology services and products. Consolidated revenues for 12 months ending December 2025 totaled $14.5B. ( )
Title: Data Architect
🏢About the Role
We are seeking a highly skilled Data Architect with deep expertise in Databricks, enterprise data modernization, cloud architecture, and AI-driven solutions . This role will help organizations establish and scale a Databricks Data Intelligence Platform that unifies data, governance, analytics, and intelligent application development.
As a trusted advisor and technical leader, you will drive enterprise transformation initiatives, modernize legacy data environments, establish governance frameworks, and build scalable data foundations that power advanced analytics, AI, and next-generation data products.
🎓Qualifications
🔹Architect and deliver modern Databricks Lakehouse solutions using Delta Lake, Medallion architecture, and scalable cloud-native design patterns.
🔹Lead enterprise data modernization initiatives, assess current-state environments, define target-state architectures, and guide implementation roadmaps.
🔹Design, develop, and optimize batch and real-time data pipelines using Auto Loader, Structured Streaming, Delta Live Tables, and Databricks Workflows .
🔹Establish and enforce data governance, security, lineage, and quality frameworks using Unity Catalog and industry best practices.
🔹Collaborate with business stakeholders, product owners, engineering teams, and executive leadership to align technical solutions with strategic business objectives.
🔹Lead architecture reviews, solution design workshops, and technical governance processes across client engagements.
🔹Drive the adoption of AI-ready data architectures by developing model-ready data assets, vector-enabled pipelines, and scalable retrieval frameworks.
🔹Design and implement production-grade AI/ML solutions using Python, PyTorch, and Databricks AI capabilities .
🔹Define AI governance standards, security guardrails, prompt safety controls, and evaluation frameworks to support responsible AI deployment.
🔹Provide technical leadership, mentorship, and oversight to engineering teams while ensuring solution quality, scalability, performance, and o…