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# Data Architect

- **Company:** HCL America Inc.
- **Location:** Arlington, VA, United States
- **Experience:** Expert
- **Salary:** $128,000.0
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Microsoft Azure, Cloud Computing, Cloud Engineering, Information Systems, Computer Programming, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Data Transformation, Python (Programming Language), Machine Learning, Meta-Data Management, Software Engineering, Data Streaming, AI Infrastructure, Google Cloud, Pytorch, Generative AI, Data Lakes, Information Technology, Machine Learning Operations, Data Pipelines, Databricks
- **Published:** October 8, 2026
- **Apply:** https://www.disabledperson.com/jobs/75915221-data-architect

## About the Role

* Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
 * 10+ years of experience in data architecture, data engineering, cloud platforms, or enterprise technology consulting.
 * 5+ years of hands-on experience with Databricks, including Delta Lake, Unity Catalog, Delta Live Tables, and Structured Streaming.
 * Strong expertise designing and implementing enterprise-scale Lakehouse architectures and modern data platforms.
 * Proven experience leading data modernization, migration, and digital transformation initiatives.
 * Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP).
 * Strong programming skills in Python and experience developing AI/ML solutions using frameworks such as PyTorch.
 * Experience building scalable data pipelines, data integration solutions, and analytics platforms supporting large-scale workloads.
 * Deep understanding of data governance, metadata management, data quality, security, compliance, and privacy best practices.
 * Experience with AI/GenAI architectures, vector databases, retrieval-augmented generation (RAG), and intelligent application development is highly preferred.
 * Proven ability to engage with executive stakeholders, influence technical strategy, and translate business requirements into scalable solutions.
 * Excellent communication, presentation, consulting, and leadership skills.
 * Databricks certifications (Data Engineer, Solutions Architect, or related certifications) are strongly preferred.

## Description

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 operational excellence.
 * Own end-to-end solution delivery, including architecture, implementation oversight, risk management, stakeholder communication, and successful production rollout.