Snowflake Senior Data Architect

Job description

The Snowflake Data Arch Lead is responsible for architecting and delivering enterprise-scale data solutions using Snowflake, DBT, SQL, and Python. This role provides architectural leadership, drives technical strategy, and ensures alignment with industry best practices. The position plays a critical part in enabling data-driven decision-making, fostering innovation, and establishing governance for robust, scalable, and secure data platforms. Key Responsibilities 1. Provide Architectural Leadership By Designing And Implementing Enterprise-Scale Data Solutions Using Snowflake, Ensuring Scalability, Performance, And Alignment With Organizational Objectives. 2. Define And Enforce Data Modeling Standards And Best Practices In Snowflake And Dbt, Establishing Governance And Compliance Measures Across All Project Deliverables. 3. Lead The Integration Of Data Pipelines Using Python And Sql, Optimizing Etl/Elt Workflows For Reliability And Efficiency. 4. Collaborate With Business Stakeholders To Translate Complex Requirements Into Innovative Snowflake-Based Architectures That Support Strategic Business Initiatives. 5. Guide And Mentor Technical Teams In Adopting Advanced Snowflake Features, Dbt Transformations, And Sql Optimization Techniques To Ensure Delivery Excellence. 6. Oversee Architectural Reviews And Ensure All Solutions Adhere To Security, Compliance, And Data Governance Standards Within The Snowflake Ecosystem. 7. Drive Continuous Knowledge Enhancement By Evaluating Emerging Snowflake Features And Industry Trends, And Disseminating Best Practices Across Teams. 8. Contribute To Organizational Thought Leadership By Submitting Whitepapers, Participating In Industry Forums, And Supporting Patent Filings In The Data Architecture Domain. Skill Requirements 1. Architectural Leadership In Snowflake, Including Advanced Proficiency In Data Warehousing Concepts, Security, And Scalability 2. InDepth Expertise In Dbt For Data Transformation And Workflow Orchestration 3. Advanced Proficiency In Sql For Complex Data Modeling, Query Optimization, And Analytics 4. Solid Experience With Python For Data Engineering And Automation Tasks 5. Excellent Understanding Of Data Governance, Compliance, And Security Best Practices In Cloud Data Platforms 6. Strong Ability To Translate Business Requirements Into Scalable Technical Solutions Other Requirements 1. Snowflake Snowpro Advanced Architect Certification (Optional But Valuable) 2. Dbt Advanced Certification (Optional But Valuable) 3. Relevant Cloud Platform Certifications (E.G., Aws Certified Data Analytics � Specialty, Google Professional Data Engineer) Are An Advantag Apply now 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 223,000 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 June 2026 totaled $14.8 billion. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Copyright © 2026 HCL Technologies Limited Cookie Consent Manager When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. 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