Snowflake Data Platform Engineer

Infosys; Bengaluru; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Infosys is seeking a Snowflake Platform Engineer to design, implement, and optimize Snowflake environments, build dbt models, and ensure data quality across analytics pipelines. You will collaborate with cross-functional teams to translate business needs into scalable data solutions, with a focus on performance, security, and cost governance.

The role emphasizes hands-on Snowflake management, dbt development, and strong SQL skills, with opportunities to contribute to release workflows and

Qualifications

• 3–5 years of experience in data platform engineering, systems engineering, or a related role.
• Hands-on experience with Snowflake including performance tuning, security/RBAC, and environment management.
• Hands-on experience with dbt including model development, testing, and documentation.
• Strong SQL skills and experience working with structured datasets and transformation logic.
• Bachelor’s degree or equivalent in Engineering/Computer Science or related fields (BTech/BE/BSc or equivalent).

Responsibilities

• Snowflake Platform Engineering: Design, implement, and maintain Snowflake environments including warehouses, databases, schemas, roles, and resource monitors.
• Data Transformation with dbt: Build and maintain dbt models, tests, and documentation to deliver reliable, analytics-ready datasets.
• Operational Excellence: Monitor platform health, usage, and cost; recommend improvements to balance performance and spend.
• dbt model development: Establish modular transformation patterns (staging, intermediate, marts) and enforce naming/versioning standards.
• Data quality: Implement data quality checks using dbt tests and support root-cause analysis for data issues.
• Release & deployments: Support release and deployment workflows for Snowflake/dbt changes with strong change management practices.
• Collaboration: Translate business requirements into scalable data solutions with cross-functional teams.
• Documentation: Create clear technical documentation and runbooks for ongoing operations.

Skills

SQL

Performance tuning

RBAC security

Data transformation

Education

Bachelor's degree in Engineering/CS

Tools

Snowflake

dbt

Git

CI/CD

Job description

Snowflake developer • Primary skills:Technology->Data on Cloud-DataStore->Snowflake Minimum Qualifications:

• 3–5 years of experience in data platform engineering, systems engineering, or a related role.
• Hands-on experience with Snowflake including performance tuning, security/RBAC, and environment management.
• Hands-on experience with dbt (Data Build Tool) including model development, testing, and documentation.
• Strong SQL skills and experience working with structured datasets and transformation logic.
• Bachelor’s degree or equivalent in Engineering/Computer Science or related fields (BTech/BE/BSc or equivalent).

Preferred Qualifications:

• Experience designing dimensional models (star/snowflake schemas) and building curated data marts for analytics use cases.
• Familiarity with CI/CD practices for analytics engineering (version control, automated testing, controlled deployments).
• Experience implementing data observability practices and operational monitoring for pipelines and warehouse workloads.
• Exposure to cost governance in Snowflake (warehouse optimization, query profiling, usage analytics).
• Postgraduate qualification (MTech/MCA/MSc or equivalent) is a plus.

Good to have skills: Git, CI/CD, Data Modeling, Data Quality/Observability, Python

Key Responsibilities:

Snowflake Platform Engineering

• Design, implement, and maintain Snowflake environments including warehouses, databases, schemas, roles, and resource monitors.
• Optimize query performance and warehouse sizing through workload analysis, clustering strategies, and best-practice tuning.
• Implement secure access controls using RBAC, ensuring least-privilege access and audit-friendly governance.
• Monitor platform health, usage, and cost; recommend improvements to balance performance and spend.

Data Transformation with dbt

• Build and maintain dbt models, tests, and documentation to deliver reliable, analytics-ready datasets.
• Establish modular transformation patterns (staging, intermediate, marts) and enforce consistent naming/versioning standards.
• Implement data quality checks using dbt tests and support root-cause analysis for data issues.

Operational Excellence

• Support release and deployment workflows for Snowflake/dbt changes with strong change management practices.
• Collaborate with cross-functional teams to translate business requirements into scalable data solutions.
• Create clear technical documentation and runbooks for ongoing operations an