Data Architect

 Design and implement scalable enterprise data architectures for analytics and reporting platforms.
. Develop and optimize ETL/ELT pipelines using Python, PySpark, SQL, AWS Glue, and AWS Lambda.
. Architect and manage cloud-native data solutions using AWS and Snowflake.
. Design and maintain dimensional data models, data marts, and enterprise data warehouses.
. Build robust data ingestion frameworks for structured and semi-structured data.
. Optimize SQL queries, data processing jobs, and Snowflake workloads for performance and cost efficiency.
. Implement CI/CD pipelines and DevOps practices for data engineering workflows.
. Work with Azure Data Lake for data storage, ingestion, and lifecycle management.
. Collaborate with business stakeholders, analysts, data engineers, and application teams to translate requirements into scalable solutions.
. Support data governance, metadata management, security, and data quality initiatives.
. Provide technical guidance and architectural best practices to development teams.
. Assist in migration and modernization of legacy ETL/DataStage solutions to cloud-native platforms.
. Participate in code reviews, architecture reviews, and production support activities.