Architect

Job Description – Data Architect

Must Have Key skills:

SQL, Python, Snowflake, Data Analytics, AI tools, DBT, Fivetran, (Good: SnapLogic, Airflow) Must-Have Skills AWS (Mandatory): Hands-on experience with services like S3, Glue, Lambda, IAM, CloudWatch Snowflake: Good experience in data warehousing, query optimization, and performance tuning DBT: Experience in building models, transformations, and tests SQL: Strong knowledge of writing complex queries and data transformations Fivetran & SnapLogic: Experience in building and managing data ingestion pipelines Python: Basic to strong scripting experience for data processing and automation

Good to Have Experience with Airflow or any orchestration tool Knowledge of data modeling (star schema, data marts) Exposure to BI tools like Power BI or Tableau Understanding of Agile methodology

Role Overview You will work on building and maintaining data pipelines and transformation workflows using AWS, Snowflake, DBT, Fivetran, and SnapLogic to support analytics and reporting needs. Key Responsibilities Build and maintain data pipelines using Fivetran and SnapLogic Develop data transformations in Snowflake using DBT Write and optimize SQL queries Use Python for automation and data processing Work with AWS services for data storage and processing Monitor pipelines, fix issues, and improve performance Work with team members and stakeholders to understand requirements.