Staff - Software Engineering

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
• Strong experience with SQL and Python - Hands-on experience with Medallion / Lakehouse Architecture
• Experience handling batch and near-real-time ingestion - Version control (Git), CI/CD, and Infrastructure-as-Code exposure Banking / Domain Experience (Must-Have)
• Experience working with banking or financial services data such as: Transactions, payments, accounts, loans, risk, fraud, regulatory reporting - Strong understanding of: Data controls, auditability, reconciliation Regulatory and compliance requirements
• Experience handling sensitive data (PII) with strong security practices Nice to Have
• Experience with Kafka / MSK
• Exposure to semantic layers (Tableau, Looker, Power BI)
• Knowledge of data governance tools (Collibra, Alation, Unity Catalog, OpenMetadata)
• Cloud certification (AWS / Snowflake) Soft Skills
• Strong problem-solving and analytical thinking
• Excellent communication with technical and non-technical stakeholders
• Ability to work in Agile / POD-based teams
• Ownership mindset with attention to detail and data quality About Convera Convera is the largest non-bank B2B cross-border payments company in the world.
• About Convera
• We offer an abundance of competitive perks and benefits including:
• Competitive salary
• Opportunity to earn an annual bonus.
• Great career growth and development opportunities in a global organization
• A flexible approach to work There are plenty of amazing opportunities at Convera for talented, creative problem solvers who never settle for good enough and are looking to transform Business to Business payments. Apply now if you're ready to unleash your potential.
• #LI-KP1

Benefits

Additional Information

Job Title: Staff Software engineer- Data Architect Summary: We are seeking an experienced software Engineer design, build, and scale modern 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 strong understanding of Medallion Architecture (Bronze, Silver, Gold layers).

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