Senior Data Engineer

Who you are

• Cloud Data Platforms: Proven expertise in architecting and operating data solutions within enterprise cloud data warehouses (e.g., modern columnar cloud platforms)
• Transformation & Orchestration: Advanced SQL and Python engineering skills with deep experience in modern data transformation frameworks and workflow DAG orchestrators
• Complex Data Modeling(dbt): Demonstrated track record modeling in dbt
• Data Quality & Governance: Hands-on experience establishing automated unit/integration test suites, lineage tracking, and role-based privacy controls
• Agile Delivery: Experience working in fast-paced sprint cadences, breaking down complex epics into clear, shippable increments

What the job involves

• We are seeking an experienced Lead / Senior Data Engineer. In this role, you will take hands-on ownership of architecting, building, and deploying modern data pipelines in Snowflake, dbt and Dagster
• You will lead the designing of scalable data models and machine learning models
• Pipeline & Architecture Ownership: Design and implement automated, modular transformation pipelines in a modern cloud data warehouse, following a clean, tiered physical data architecture (from raw ingestion to governed marts)
• Experience with machine learning models - Needs experience with ML development life cycle within Snowflake (Martech experience highly desirable)
• Governance & Security: Implement enterprise-grade data security standards, including automated quality testing, role-based access control (RBAC), and dynamic data masking for sensitive customer information (PII)
• Technical Leadership: Guide engineering best practices across CI/CD, version control, and automated orchestration, collaborating closely with product managers, analytics leads, and platform architects