Databricks Lakehouse Architect | AI Data Platform Leader

HCLTech; Arlington (VA); On-site; USD 128,000 - 250,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) retirement plan

Paid time off

Paid holidays

Job summary

HCLTech is seeking an expert Data Architect to lead the design and delivery of a Databricks-based Data Intelligence Platform. The role emphasizes enterprise-scale Lakehouse architectures, data governance, and scalable cloud-native data foundations to power analytics, AI, and next-gen data products.

You will partner with stakeholders and leadership to drive modernization, establish governance, and oversee end-to-end delivery, including risk management and production rollout.

Qualifications

• Architect and deliver modern Databricks Lakehouse solutions using Delta Lake and scalable cloud-native design patterns.
• Lead enterprise data modernization initiatives and guide implementation roadmaps.
• Design and optimize batch and real-time data pipelines with Auto Loader, Structured Streaming, Delta Live Tables, and Databricks Workflows.
• Establish and enforce data governance, security, lineage, and quality frameworks using Unity Catalog.

Responsibilities

• Collaborate with stakeholders to align technical solutions with business goals.
• Lead architecture reviews, solution design workshops, and governance processes across client engagements.
• Drive AI-ready data architectures with model-ready data assets and vector-enabled pipelines.
• Develop production-grade AI/ML solutions using Python, PyTorch, and Databricks AI capabilities.

Skills

Databricks

Delta Lake

Delta Live Tables

Structured Streaming

Unity Catalog

Python

PyTorch

AI/GenAI architectures

Cloud platforms (Azure/AWS/GCP)

Databricks Lakehouse

Education

Bachelor's or Master's in CS/IS/Engineering/Data Science

Job description

HCLTech is seeking an expert Data Architect to lead the design and delivery of a Databricks-based Data Intelligence Platform. The role emphasizes enterprise-scale Lakehouse architectures, data governance, and scalable cloud-native data foundations to power analytics, AI, and next-gen data products.

You will partner with stakeholders and leadership to drive modernization, establish governance, and oversee end-to-end delivery, including risk management and production rollout.