Senior Solution Architect
United States
Job Description
Senior Solution Architect
Charlotte, North Carolina

Job Summary

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

1. To assess the domain IT landscape assessment and Application portfolio optimization for gap analysis
2. Creation of solution and architectural views (logical| conceptual| development| execution| infrastructure & operations architecture)
3. To collaborate with business and technical stakeholders, including leaders, project managers, and development teams, to understand and prioritize requirements while defining the architecture.
4. To ensure knowledge up-gradation and work with new and emerging products/technologies
5. To drive innovation by exploring and recommending new solutions within the organization.
6. To contribute towards white/technical papers and knowledge base

Skill Requirements

•    Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
•    10+ 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.

Other Requirements

•    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.

Maximum Salary (US):  282000
Minimum Salary (US):  128000
Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 226,300 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2025 totaled $14.5 billion.

Compensation and Benefits

A candidate’s pay within the range will depend on their 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.