Analytics Engineer
langchain
Data & Analytics Engineer - Manager
About this role
Job Title: Snowflake Manager
Location: Bangalore / Pune
Responsibilities:
- Lead end-to-end Snowflake platform (ingestion, modeling, ELT/ETL, security, performance, observability).
- Deliver AI-first solutions using Snowflake Cortex/Cortex Cloud and LLMs (OpenAI/Azure OpenAI or Anthropic Claude): RAG, embeddings, vector search define prompt engineering, evaluation, safety/guardrails. Own program delivery (roadmap, budgets, risks, vendors) and translate business outcomes into technical plans.
- Build and mentor a high-performing team set standards for CI/CD, testing, data quality, lineage, and documentation.
- Deep expertise in Snowflake SQL/Snowpark and orchestration (dbt, Tasks/Streams, Airflow/ADF) optimize cost/performance implement robust RBAC and data protection.
- Nice-to-have: Python for Snowpark/UDFs and Azure (ADLS, ADF, DevOps) familiarity with governance/observability tools.
Job Title: Snowflake Manager
Location: Bangalore / Pune
Responsibilities:
- Lead end-to-end Snowflake platform (ingestion, modeling, ELT/ETL, security, performance, observability).
- Deliver AI-first solutions using Snowflake Cortex/Cortex Cloud and LLMs (OpenAI/Azure OpenAI or Anthropic Claude): RAG, embeddings, vector search define prompt engineering, evaluation, safety/guardrails. Own program delivery (roadmap, budgets, risks, vendors) and translate business outcomes into technical plans.
- Build and mentor a high-performing team set standards for CI/CD, testing, data quality, lineage, and documentation.
- Deep expertise in Snowflake SQL/Snowpark and orchestration (dbt, Tasks/Streams, Airflow/ADF) optimize cost/performance implement robust RBAC and data protection.
- Nice-to-have: Python for Snowpark/UDFs and Azure (ADLS, ADF, DevOps) familiarity with governance/observability tools.
Job Title: Snowflake Manager
Location: Bangalore / Pune
Responsibilities:
- Lead end-to-end Snowflake platform (ingestion, modeling, ELT/ETL, security, performance, observability).
- Deliver AI-first solutions using Snowflake Cortex/Cortex Cloud and LLMs (OpenAI/Azure OpenAI or Anthropic Claude): RAG, embeddings, vector search define prompt engineering, evaluation, safety/guardrails. Own program delivery (roadmap, budgets, risks, vendors) and translate business outcomes into technical plans.
- Build and mentor a high-performing team set standards for CI/CD, testing, data quality, lineage, and documentation.
- Deep expertise in Snowflake SQL/Snowpark and orchestration (dbt, Tasks/Streams, Airflow/ADF) optimize cost/performance implement robust RBAC and data protection.
- Nice-to-have: Python for Snowpark/UDFs and Azure (ADLS, ADF, DevOps) familiarity with governance/observability tools.
Frequently Asked Questions
Is the salary disclosed for the Data & Analytics Engineer - Manager position at KPMG Global Services?
The salary for this Data & Analytics Engineer - Manager role at KPMG Global Services is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data & Analytics Engineer - Manager position at KPMG Global Services located?
This Data & Analytics Engineer - Manager role at KPMG Global Services is based in Bangalore, Karnataka, India, Pune, Maharashtra, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Data & Analytics Engineer - Manager role at KPMG Global Services full-time or part-time?
This is listed as a Full time position. It is posted as a Data & Analytics Engineer - Manager role at KPMG Global Services.
How do I apply for the Data & Analytics Engineer - Manager position at KPMG Global Services?
Click the "Apply Now" button on this page. You will be redirected to KPMG Global Services's official application portal hosted on oraclecloud where you can submit your application directly.
When was the Data & Analytics Engineer - Manager job at KPMG Global Services posted?
This Data & Analytics Engineer - Manager position at KPMG Global Services was posted on Jul 3, 2026. Apply as soon as possible — early applications are often reviewed first.
Data & Analytics Engineer - Manager
KPMG Global Services
You'll be redirected to KPMG Global Services's official application page on oraclecloud.