Snowflake Architect/Senior Data Engineer
First seen by Alion on Aug 24, 2026.
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.
Skills
Data Engineering, Snowflake DB, Technical Architect, Python, PySpark, SQL, Data Pipeline, Data Modeling, RDBMS, Data Governance, Cloud