Data Architect

Overview HCLTech is looking for a highly talented and self-motivated Snowflake Data Architect (Data Modernization, AI-Driven Development) to join it in advancing the technological world through innovation and creativity. Position Type: Full-time Job ID: 119488 Locations: Virginia Cluster (McLean, Washington DC, Arlington) | St. Louis | Chicago Cluster | NY/NJ Cluster | Charlotte (NC) | San Leandro (CA) | Bay Area | San Antonio (TX) 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 Snowflake Data Architect with strong experience in enterprise data modernization and AI-driven development to help clients establish a modern Snowflake data 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 Responsibilities Design modern Snowflake architectures using scalable data models, multi-cluster warehouse strategies, secure data sharing, and patterns that support analytics, reporting, and intelligent data products. Lead legacy-to-cloud modernization initiatives, provide technology consulting and architecture leadership, and define target-state Snowflake platform architectures for enterprise transformation programs aligned to client business priorities. Build and govern batch and near-real-time data pipelines using Snowpipe, Streams, Tasks, Dynamic Tables, and Snowpark-based engineering patterns. Establish governance, security, lineage, and data quality controls using Snowflake-native capabilities such as RBAC, row and column-level access policies, masking, encryption, and enterprise governance standards, while partnering with client stakeholders to drive measurable business outcomes and adoption. Drive AI-driven development on Snowflake by building model-ready data foundations, semantic data structures, vector-ready pipelines, and intelligent data patterns that accelerate analytics, automation, and modern data use cases. Lead production-grade AI-driven implementations using Python, PyTorch, Snowpark, and Snowflake-native capabilities, while managing client stakeholder alignment, enabling executive-level communication, and ensuring delivery focuses on scalable business outcomes across modernization programs. Define and implement security guardrails, access controls, and evaluation/review frameworks to support responsible, measurable, and production-ready AI-driven development on Snowflake across client engagements. Own service delivery across client engagements by driving execution governance, delivery planning, risk management, quality assurance, and cross-functional coordination to ensure commitments are met with high customer satisfaction and measurable business outcomes. What We’re Looking For 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 Snowflake, SQL, Python, PyTorch, Snowpark, 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 on cloud data platforms, 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 Snowflake on AWS, Azure, or GCP in large enterprise environments. Knowledge of semantic data patterns, Snowflake governance features, intelligent application architectures, 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 Snowflake 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 I 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 followi14520ng 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 yea #J-18808-Ljbffr HCLTech