Data Architect

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

Location: Arlington, Virginia

Work Model: Onsite

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

Key Responsibilities

• 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.

Pay and Benefits

Pay Range Minimum: $128,000 per year

Pay Range Maximum: $250,000 per year

HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation.

Compensation and Benefits

A candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.

How You’ll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.