Job Overview :

We are looking for an experienced Snowflake Architect / Senior Data Engineer to design, develop, and deliver scalable cloud data solutions. The ideal candidate should have strong hands-on experience in Snowflake, Python, PySpark, SQL, data modelling, and data migration, along with good exposure to cloud platforms and data architecture.

Key Responsibilities :

- Design and implement scalable end-to-end data architecture and data solutions.

- Work with clients to understand business and technical requirements and translate them into technical solutions.

- Design data models, data pipelines, data flows, storage, security, and access patterns.

- Develop and implement Snowflake-based data solutions following best practices.

- Work on data migration from on-premise/RDBMS systems to Snowflake.

- Design and manage incremental, batch, and streaming data loads.

- Work with Snowflake capabilities including Snowpipe, SnowSQL, Streams, roles, and security.

- Identify and resolve data pipeline and performance bottlenecks.

- Define appropriate orchestration and downstream data consumption patterns.

- Collaborate with Data Engineers, Data Scientists, DevOps teams, and other stakeholders.

- Establish and follow CI/CD and DevOps practices.

- Ensure data governance, security, cost management, and disaster recovery considerations.

- Conduct code reviews and ensure high-quality technical deliverables.

- Create reusable frameworks and technical artifacts.

- Provide technical guidance and mentorship to team members.

- Support client UAT and resolve technical issues.

- Own end-to-end delivery and contribute to project planning and technical decisions.

Required Skills:

- 7-14 years of relevant experience in Data Engineering / Data Architecture.

- Strong hands-on experience with Snowflake.

- Proficiency in SQL, Python, and PySpark.

- Experience in On-premise/RDBMS to Snowflake migration.

- Strong understanding of Snowflake architecture and capabilities.

- Experience with Snowpipe, SnowSQL, Streams, and incremental data loading.

- Strong knowledge of Data Modelling and Data Access Patterns.

- Experience with AWS, Azure, or GCP.

- Good understanding of Data Governance and DevOps practices.

- Experience working with Big Data platforms.

- Understanding of Data Virtualization.

- Knowledge of Cost Management, Infrastructure Planning, and Disaster Recovery.

- Strong analytical, problem-solving, communication, and stakeholder-management skills.

- SnowPro certification/exposure is preferred.

Preferred Candidate :

- Candidates who have worked as a Snowflake Architect, Snowflake Data Engineer, Lead Data Engineer, Cloud Data Architect, or Snowflake Consultant with strong experience in migration and end-to-end data architecture will be preferred.

Important :

- This position requires working from the Chennai office 5 days a week.