Databricks Data Architect | AI-Driven Lakehouse Leader

HCLTech

Arlington (VA)

On-site

USD 128,000 - 250,000

Full time

14 days+

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Benefits offered by this job

Medical Insurance
401(k) retirement plan
Paid time off
Paid holidays

Job summary

HCLTech in Arlington, VA is seeking a Data Architect with deep Databricks expertise to lead the design of a scalable data platform that unifies data, governance, analytics, and AI-driven applications. You will drive enterprise transformation, modernize legacy environments, establish governance, and guide cloud-native lakehouse architectures across Azure, AWS, and GCP.

The role requires 10+ years in data architecture, strong Python/PyTorch skills, and ability to engage with executives to

Qualifications

  • Minimum 10+ years in data architecture, data engineering, or enterprise technology consulting.
  • Proven experience with Databricks Lakehouse, Delta Lake, Unity Catalog and Delta Live Tables.
  • Strong background in cloud architectures (Azure/AWS/GCP) and data governance.

Responsibilities

  • Own end-to-end solution delivery, including architecture, implementation oversight, risk management, and stakeholder communication.
  • Lead architecture reviews and governance processes across client engagements.
  • Guide data modernization, migration, and digital transformation initiatives.
  • Collaborate with business stakeholders to align technical solutions with strategic goals.
  • Mentor engineering teams and ensure scalable, secure data platforms.

Skills

Databricks Lakehouse
Delta Lake
Unity Catalog
Delta Live Tables
Structured Streaming
Python
PyTorch
AI/ML
Cloud Platforms
Data Governance
Leadership
Architectural Design
Stakeholder Influence

Education

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

Tools

Databricks
Azure
AWS
GCP

Job description

HCLTech in Arlington, VA is seeking a Data Architect with deep Databricks expertise to lead the design of a scalable data platform that unifies data, governance, analytics, and AI-driven applications. You will drive enterprise transformation, modernize legacy environments, establish governance, and guide cloud-native lakehouse architectures across Azure, AWS, and GCP.

The role requires 10+ years in data architecture, strong Python/PyTorch skills, and ability to engage with executives to

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