Solution Architect - Data Engineering

Job Title : Solution Architect Data Engineering (AWS & Snowflake)

Location : India

Job Description :

We are looking for an experienced Solution Architect - Data Engineering with strong expertise in AWS, Snowflake, and modern cloud-based data integration technologies.

The ideal candidate should have hands-on experience in designing scalable data platforms, cloud-native data pipelines, and enterprise data engineering solutions.

The role requires strong technical expertise in cloud ecosystems, data architecture, automation, and large scale data processing.

Key Responsibilities :

- Design, develop, and implement scalable cloud-based data engineering solutions

- Build and optimize data pipelines using AWS Glue, DBT, Databricks, and PySpark-based frameworks

- Develop data integration solutions using APIs, microservices, and cloud-native architectures

- Work extensively with Snowflake, Amazon Redshift, S3, and other cloud-based data platforms

- Design and manage cloud-based data warehouses, data lakes, and data processing systems

- Utilize AWS services such as Athena, Lambda, and S3 for scalable data solutions

- Ensure data governance, data quality, and data management best practices across systems

- Develop and maintain data models to support analytics and business requirements

- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions

- Implement DevOps and DataOps practices using Git-based platforms and automation tools

- Troubleshoot performance bottlenecks and optimize data processing workflows

- Support architecture reviews, technical discussions, and solution design activities

Required Skills & Experience :

- Strong expertise in AWS cloud platform and related services

- Hands-on experience with Snowflake, Amazon Redshift, S3, and cloud-based data lakes

- Experience with DBT, AWS Glue, Databricks, and PySpark-based data integration frameworks

- Strong programming experience in Python for data engineering solutions

- Good understanding of APIs, microservices, and modern data pipeline architectures

- Experience with SQL/NoSQL databases and cloud-native data solutions

- Knowledge of data governance, data quality, and data management processes

- Strong understanding of data modelling techniques

- Experience with DevOps/DataOps practices and Git-based platforms

- Excellent analytical, troubleshooting, and problem-solving skills

Preferred Candidate Profile :

- AWS certifications will be an added advantage

- Experience working in consulting or enterprise-scale data transformation projects preferred

- Ability to work independently in fast-paced environments

- Strong communication and stakeholder management skills