Data Platform Architect

8118 ASOL - Kolkata SEZ Company; Kolkata District; On-site; INR 2,200,000 - 3,500,000; Full time

Job summary

Accenture is seeking a Data Platform Architect to design, build and operate a Snowflake-based AI/ML data platform. You will architect the blueprint, implement secure data access, feature preparation and model-enabled workflows, collaborating with data scientists and engineers.

You will optimize compute, automate deployments, ensure observability, governance and cost efficiency while maintaining production analytics workloads across enterprise systems.

Qualifications

• Bachelor's degree in CS/CE/IT or a related engineering field.
• Minimum 2 years of experience coding, building, monitoring or troubleshooting AI/ML infrastructure, data platforms, or cloud/platform engineering solutions.
• Strong understanding of AI/ML concepts and compute/storage/security foundations for AI workloads.
• Minimum 2 years of proficiency in programming or scripting languages such as Python, Java, C++, Bash or PowerShell.
• Experience with CI/CD, infrastructure-as-code, containers, Kubernetes, workflow orchestration and operational monitoring tools.
• Strong problem-solving ability, communication skills and collaboration mindset in a fast-paced engineering environment.

Responsibilities

• Write, review and debug SQL, Python, scripts and IaC for Snowflake AI/ML infra and deployment tooling.
• Configure and manage Snowflake warehouses, databases, schemas, secure access patterns, Snowpark workloads and integrations.
• Support deployment automation and CI/CD pipelines for Snowflake AI solutions using Git, Terraform, dbt, Python and containers.
• Deploy and operate data/feature pipelines, AI application integrations and model-enablement components with reliability and security.
• Monitor warehouse utilization, query performance, pipelines and integration health; troubleshoot issues across layers.
• Collaborate with data scientists, ML engineers and data engineers to integrate Snowflake-enabled AI into enterprise systems.
• Document reusable patterns, configuration standards and runbooks for Snowflake-based AI infra.

Skills

SQL

Python

CI/CD

Problem solving

Education

Bachelor's degree in CS/CE/IT or related

15 years full time education

Tools

Snowflake

Snowpark

Terraform

dbt

Kubernetes

Git

Streamlit

Cloud storage integrations

Orchestration tools

Job description

Project Role

Project Role : Data Platform Architect Project Role Description : Architects the data platform blueprint and implements the design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Snowflake Data Warehouse Good to have skills : Machine Learning Operations Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Role Summary / Description AI Powered Tech Talent As a hands-on Engineer in AI Infrastructure Architecture, you will design, build, automate, monitor and optimize Snowflake-based AI/ML infrastructure for secure data access, feature preparation, model enablement, AI application integration and production analytics workloads. you will work on moderately complex platform components under guidance from senior architects and engineers, contributing to compute optimization, deployment automation, observability, governance, security and operational reliability for AI-driven business solutions.

Key Responsibilities

• Write, review and debug SQL, Python, scripts and infrastructure-as-code for Snowflake AI/ML infrastructure, automation, monitoring and deployment tooling.
• Configure and manage Snowflake warehouses, databases, schemas, secure access patterns, Snowpark workloads, Streamlit apps, model-related data pipelines and integrations with cloud storage and orchestration tools.
• Support deployment automation and CI/CD pipelines for Snowflake-based AI solutions using tools such as Git, Terraform, dbt, Python, containers and workflow orchestration tooling where applicable.
• Deploy and operate data/feature pipelines, AI application integrations and model-enablement components while applying reliability, security, cost-efficiency and scalability practices.
• Monitor warehouse utilization, query performance, pipelines and integration health troubleshoot issues across compute, storage, access control, data movement and application layers.
• Collaborate with data scientists, ML engineers, data engineers, platform engineers and architects to integrate Snowflake-enabled AI solutions into enterprise systems while meeting compliance and operational requirements.
• Document reusable patterns, configuration standards and runbooks for Snowflake-based AI infrastructure.

Required Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Information Technology or a related engineering field.
• Minimum 2 years of experience coding, building, monitoring or troubleshooting AI/ML infrastructure, data platforms, model deployment pipelines or cloud/platform engineering solutions.
• Strong understanding of AI/ML concepts and the compute, storage, networking, security and deployment foundations required to run AI workloads.
• Minimum 2 years of proficiency in programming or scripting languages such as Python, Java, C++, Bash or PowerShell.
• Experience with CI/CD, infrastructure-as-code, containers, Kubernetes, workflow orchestration and operational monitoring tools.
• Strong problem-solving ability, communication skills and collaboration mindset in a fast-paced engineering environment.

Required Skills/ Experience

• Hands-on experience with Snowflake warehouses, databases, schemas, secure data sharing/access controls, Snowpark, Python/SQL workloads and cloud storage integrations.
• Experience designing or operating scalable data pipelines, feature preparation workloads, AI application integrations and production analytics or ML enablement workloads.
• Working knowledge of SQL, Python, dbt/Terraform, CI/CD pipelines, data observability and cost/performance optimization practices.
• Ability to optimize warehouses, queries, data pipelines and integrations for performance, reliability, scalability, cost and security.
• Understanding of MLOps/data platform patterns including feature engineering, model input/output management, monitoring and governance.

Good to Have Skills

• Snowflake certification such as SnowPro Core, SnowPro Advanced Architect, SnowPro Data Engineer or related platform credentials.
• Exposure to industry use cases in BFSI, healthcare, retail/e-commerce, telecom, manufacturing or public sector where data/AI platforms must meet compliance, reliability and data-governance expectations.
• Familiarity with Snowpark, Cortex/AI features, vector search, retrieval pipelines, feature engineering and model-enablement patterns.
• Knowledge of data governance, data sharing controls, FinOps practices, incident management and production support processes for enterprise AI platforms.
• 15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. Bring your incredible skills and join our global team of innovators. We come together from different backgrounds across the world and work with the latest technologies to create value and growth for our clients. With us, you’ll continue to learn and grow so you can advance in your career. Your personal dreams and ambitions are just as important to us; that’s why we offer support any way we can—when you thrive, we all thrive. Explore your next step at Accenture Belong. Grow. Thrive. Join agreat place to work for reinventors who drive meaningful change for our clients, communities, and the world. Wo rld. Explore your next step at Accenture