Senior Data Architect

HCLTech is looking for a highly talented and self-motivated Senior Data Architect with AI expertise to join it in advancing the technological world through innovation and creativity. Job Title: Senior Data Architect (Databricks, Data Modernization, AI-Driven Development) Position Type: Full-time Job ID: 119489 Locations: Virginia Cluster (McLean, Washington DC, Arlington) | St. Louis | Chicago Cluster | NY/NJ Cluster | Charlotte (NC) | San Leandro (CA) | Bay Area Detailed Job Description: At HCLTech, we supercharge progress by bringing together deep industry expertise, engineering excellence, and AI-driven innovation to solve complex business challenges. We are looking for a Data Architect with strong experience in Databricks, enterprise data modernization, and AI-led development to help clients establish a Databricks Data Intelligence Platform that unifies data, governance, analytics, and intelligent application enablement. In this role, you will lead scalable cloud data architecture, modernize legacy environments, embed intelligence into platform engineering, establish governance standards, and build trusted foundations for advanced analytics and intelligent data products. Key Responsibilities Design modern lakehouse architectures on Databricks using Delta Lake, medallion patterns, and scalable data models. Lead technology consulting engagements and enterprise data modernization initiatives, define target‑state architectures, and provide architectural leadership across transformation programs. Build and govern batch and streaming data pipelines using Auto Loader, Structured Streaming, and Delta Live Tables. Partner with client stakeholders to establish governance, security, lineage, and data quality controls using Unity Catalog and enterprise standards, aligning platform decisions to measurable business outcomes. Provide cross-functional leadership across engineering, architecture, and client teams, translating technical strategy into business value, prioritizing delivery against client objectives, and driving adoption of modern data and AI capabilities. Own service delivery responsibilities across client engagements by aligning architecture and execution to committed outcomes, managing delivery quality and governance, and ensuring solutions are implemented effectively from design through rollout. Drive AI‑led development for the Databricks Data Intelligence Platform by building model‑ready data foundations, metadata‑rich architectures, vector‑ready pipelines, and retrieval patterns that accelerate intelligent applications and modern data use cases. Lead production‑grade AI implementations using Python and PyTorch to enable intelligent platform capabilities, secure deployment patterns, operational resilience, and scalable performance across modernization programs. Define and implement security guardrails, prompt safety controls, and evaluation/review frameworks to support responsible, measurable, and production‑ready AI development on the Databricks Data Intelligence Platform across client engagements. What We’re Looking For Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field. 15+ years of experience in data architecture, data engineering, or enterprise data platform design. Hands‑on expertise in Databricks, Spark/PySpark, SQL, Python, PyTorch, and cloud data platforms. Strong experience in data modernization, migration, governance, performance optimization, and enterprise architecture for client‑facing delivery. Proven experience enabling AI‑driven development, ML workflows, and model lifecycle management, including production implementations with security guardrails and evaluation/review frameworks. Excellent stakeholder communication and cross‑functional leadership skills. Nice to Have Master’s degree or advanced certification in data, cloud, AI, or intelligent platform engineering disciplines. Experience with Azure Databricks and one or more major cloud platforms (AWS or GCP). Knowledge of vector databases, intelligent application patterns, platform governance, and frameworks for guardrails, response quality evaluation, and human review. Experience with CI/CD, Infrastructure as Code, observability, and DataOps/MLOps practices. If you are passionate about building modern data platforms and delivering secure, production‑ready AI-driven innovation at scale, HCLTech would love to hear from you. Pay and Benefits Pay Range Minimum: $128,000 / Annual Pay Range Maximum: $282,000 / Annual 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 View email address on click.appcast.io 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. #J-18808-Ljbffr HCLTech