3 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design, build, automate, monitor, and optimize Snowflake-based AI/ML infrastructure.
- Write, review, and debug SQL, Python, and infrastructure-as-code for automation, monitoring, and deployment tooling.
- Configure Snowflake warehouses, databases, schemas, secure access patterns, Snowpark workloads, Streamlit applications, and model-related data pipelines.
- Support deployment automation and CI/CD pipelines using Git, Terraform, dbt, Python, containers, Kubernetes, and workflow orchestration tools.
- Deploy and operate data and feature pipelines, AI application integrations, and model-enablement components.
- Monitor warehouse utilization, query performance, pipeline health, and integrations while troubleshooting compute, storage, access, data movement, and application issues.
- Collaborate with data scientists, ML engineers, data engineers, platform engineers, and architects to integrate enterprise AI solutions.
- Document reusable patterns, configuration standards, and operational runbooks.
Requirements
- A bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related engineering field is required.
- At least 5 years of experience is stated for the project role, including at least 2 years in AI/ML infrastructure, data platforms, model deployment pipelines, or cloud/platform engineering.
- At least 2 years of programming or scripting experience with languages such as Python, Java, C++, Bash, or PowerShell.
- Hands-on experience with Snowflake warehouses, databases, schemas, secure data sharing and access controls, Snowpark, Python/SQL workloads, and cloud storage integrations.
- Experience with scalable data pipelines, feature preparation, AI application integrations, production analytics, or ML enablement workloads.
- Experience with CI/CD, infrastructure-as-code, containers, Kubernetes, workflow orchestration, operational monitoring, data observability, and cost/performance optimization.
- Understanding of AI/ML concepts, MLOps and data-platform patterns, feature engineering, model input/output management, monitoring, governance, security, and deployment foundations.
- Snowflake certification such as SnowPro Core, SnowPro Advanced Architect, or SnowPro Data Engineer is preferred.
- Experience with Snowpark, Cortex/AI features, vector search, retrieval pipelines, data governance, data sharing controls, FinOps, incident management, or production support is preferred.
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.