Snowflake developer

Join a high-impact data engineering team where you’ll help organizations unlock the full value of their cloud data platforms using Snowflake and AWS. In this role, you’ll partner closely with stakeholders, architects, and engineering teams to design scalable data solutions, modernize legacy warehouses, and enable analytics-ready datasets that drive real business outcomes. You’ll lead technical discussions, guide best practices, and deliver robust implementations with a strong focus on performance, security, and reliability. If you enjoy solving complex data challenges, mentoring teams, and translating requirements into well-architected solutions, this is a great opportunity to grow your consulting leadership while working in a collaborative, delivery-focused environment.

Responsibilities

Key Responsibilities:

• Lead end-to-end Snowflake implementations including requirement discovery, solution design, development, testing, and production rollout.
• Design and build scalable data models in Snowflake (schemas, warehouses, clustering strategies) aligned to analytics and reporting needs.
• Develop and optimize ELT/ETL pipelines leveraging Snowflake capabilities for performance and cost efficiency.
• Implement data ingestion and integration patterns on AWS to support batch and near-real-time data movement into Snowflake.
• Drive performance tuning across Snowflake workloads (query optimization, warehouse sizing, caching strategies) and ensure SLA adherence.
• Establish data governance practices including access controls, secure data sharing, and auditing aligned with organizational policies.
• Collaborate with cross-functional teams to translate business requirements into technical specifications and delivery plans.
• Provide technical leadership through code reviews, best practices, documentation, and mentoring of junior team members.
• Support production operations including monitoring, incident triage, root-cause analysis, and continuous improvement.

Technical requirements

Technology->Data on Cloud-DataStore->Snowflake

Additional responsibilities

Minimum Qualifications:

• Bachelor’s degree (or equivalent) in Engineering/Technology/Computer Applications/Science (BTech/BE/MCA/MSc or equivalent).
• 6-10 years of overall experience with strong hands-on delivery in data warehousing and cloud data platforms.
• Strong expertise in Snowflake including architecture concepts, data modeling, performance tuning, and security features.
• Strong experience with AWS services used in data platforms and integrations.
• Proven experience leading technical delivery, owning solution outcomes, and working directly with stakeholders.

Preferred Qualifications:

• Master’s degree (MTech or equivalent) is a plus.
• Experience designing cloud-native data platform architectures on AWS integrated with Snowflake for enterprise-scale workloads.
• Strong consulting skills: stakeholder management, estimation, delivery planning, and presenting solution approaches to technical and non-technical audiences.
• Experience implementing robust security and governance patterns (role-based access, data masking, auditing, secure sharing) in Snowflake.
• Track record of optimizing cost and performance through workload management, warehouse strategies, and operational best practices.
• Experience mentoring teams and establishing reusable frameworks, standards, and delivery accelerators.

Good to have skills:

SQL, Data Modeling, ETL/ELT, Data Governance, Performance Tuning

Preferred skills

Technology->Data on Cloud-DataStore->Snowflake

Education

MCA,MSc,MTech,Bachelor of Engineering,BTech