Snowflake Architect

Snowflake Architect

Req ID: 341053

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Snowflake Architect to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Snowflake Data Platform - Architect

Job Description

Role Summary As a Snowflake Architect, you will lead the design and implementation of enterprise-grade data platforms using Snowflake. You will define architectural standards, guide engineering teams, and collaborate with stakeholders to align data strategies with business goals. Your role will focus on leveraging Snowflake's advanced capabilities to build scalable, secure, and high-performance data solutions that support analytics, reporting, and data science initiatives.. Key Responsibilities:

• Define and own the end-to-end architecture of data platforms built on Snowflake, including ingestion, transformation, storage, and consumption layers.
• Design and implement data lakehouse architectures using Snowflake's native features such as Streams, Tasks, Materialized Views, and External Tables.
• Establish best practices for data governance, security, and access control using Role-Based Access Control (RBAC), Secure Views, and Row-Level Security.
• Architect scalable ETL/ELT pipelines using Snowflake, DBT, and Python, integrating with orchestration tools like Airflow etx.
• Lead integration of Snowflake with enterprise systems such as data catalogs, data quality frameworks, monitoring tools, and BI platforms.
• Working knowledge of AI integrations with Snowflake, including Snowflake Cortex and LLM-powered analytics, with experience in enabling intelligent data applications.
• Hands-on experience with Snowflake Horizon, including governance capabilities such as object tagging, data lineage, Data Clean Rooms, and AI-powered object insights for unified compliance, security, and discovery.
• Guide teams in implementing CI/CD pipelines for Snowflake deployments using tools like GitHub Actions, Azure DevOps, or GitLab CI.
• Monitor and optimize Snowflake performance using Query Profile, Resource Monitors, Clustering Keys, and Auto-Suspend/Resume features.
• Collaborate with data analysts, engineers, and business stakeholders to ensure platform reliability and data accessibility.
• Conduct architectural reviews, code audits, and mentoring sessions to ensure adherence to standards and scalability.
• Stay current with Snowflake innovations and advocate for adoption of new features and capabilities.

Skills / Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field required.
• At least 10 years of experience in data development and solutions in highly complex data environments with large data volumes.
• At least 10 years of SQL / PLSQL experience with the ability to write ad-hoc and complex queries to perform data analysis.
• At least 7 years of experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy etc.
• Familiarity with Snowflake's architecture, including virtual warehouses, data storage layers, and compute scaling.
• Hands on experience with DBT preferred.
• Experience with performance tuning SQL queries, Spark job, and stored procedures.
• An understanding of E-R data models (conceptual, logical, and physical).
• Understanding of advanced data warehouse concepts is required
• Strong analytical skills, including a thorough understanding of how to interpret customer business requirements and translate them into technical designs and solutions.
• Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions, roles and able to interact effectively with all levels.
• Strong problem-solving skills. Ability to identify where focus is needed and bring clarity to business objectives, requirements, and priorities.

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About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use and email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form,

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Experience LevelSenior Level

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