Job Purpose
We are seeking a highly skilled and Snowflake‑certified Data Engineer to independently design, build, and optimize scalable data solutions across the enterprise. The ideal candidate will have deep hands-on expertise in Snowflake architecture, data modeling, and end‑to‑end pipeline development, along with a strong understanding of cloud data ecosystems, API integration, and enterprise data platforms. This individual contributor role requires a self-driven engineer capable of owning complex data engineering initiatives end‑to‑end while ensuring performance, reliability, and alignment with business needs.
Key Responsibilities
- Independently design and implement Snowflake databases, schemas, warehouses, RBAC, and workload management.
- Configure and optimize Snowpipe, Streams, Tasks, Materialized Views, Clustering, and Time Travel.
- Perform performance tuning and troubleshoot issues directly from the Snowflake portal.
- Design robust dimensional and normalized data models aligned with financial domain needs.
- Architect and implement Medallion (Bronze–Silver–Gold) data layers for scalable pipelines.
- Ensure data quality, governance, and secure access patterns.
- Build and manage end-to-end pipelines using:
- dbt for transformations
- Python for automation
- Airflow/ADF for orchestration
- Implement and maintain CI/CD workflows, code reviews, and automated deployment processes.
- Consume REST/SOAP APIs for data ingestion and integration.
- Connect Snowflake with enterprise systems (Salesforce, SAP, CRM/ERP, cloud services).
- Integrate Snowflake with cloud-native services for ingestion, compute, and storage.
- Maintain high-performance, cost-efficient cloud data operations.
- Take complete ownership of design, development, deployment, and support with minimal oversight.
- Work directly with architects, business analysts, and stakeholders to translate requirements into solutions.
- Produce high-quality documentation, reusable components, and engineering best practices.
