Job Title: Staff Software engineer- Data Architect
Summary: We are seeking an experienced software Engineer design, build, and scale up-to-date data platforms supporting analytics, reporting, and regulatory use cases in the banking domain. The ideal candidate will have deep expertise in Snowflake, dbt Cloud, Apache Airflow, and AWS-based data ingestion, and a solid understanding of Medallion Architecture (Bronze, Silver, Gold layers).
Key Responsibilities:
• Design, develop, and maintain scalable data pipelines using AWS services, Airflow, dbt Cloud, and Snowflake
• Implement and govern Medallion Architecture: Bronze: Raw ingestion and landing Silver: Cleansed, conformed, and enriched datasets Gold: Analytics-ready, business-curated data models
• Build robust data ingestion frameworks leveraging AWS services such as: S3, Lambda, Glue, SNS/SQS, Kinesis, Kafka
• Develop ELT pipelines using dbt Cloud for transformations, testing, documentation, and version control
• Orchestrate workflows and dependencies using Apache Airflow • Partner with Product, Analytics, Risk, Compliance,
and Business teams to deliver trusted data products
• Ensure data quality, lineage, and observability through testing, monitoring, and alerting • Implement CI/CD pipelines for data workloads
• Enforce data governance, security, and compliance standards (PII, SOX, GDPR, PCI where applicable) Required Skills & Qualifications Experience: 5+ years of hands-on experience in Data Engineering, with strong exposure to banking or financial services data platforms. Technical Skills • Snowflake • Data modeling, performance tuning, streams & tasks, secure views
• dbt Cloud
• Models, tests, macros, documentation, environments, CI
• Apache Airflow • DAG design, scheduling, monitoring, and error handling
• AWS Data Services : S3, Glue, Lambda, Kinesis, SQS/SNS, IAM
• Robust experience with SQL and Python • Hands-on experience with Medallion / Lakehouse Architecture
• Experience handling batch and near-real-time in
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