Lead Data Engineer

About Gradera Gradera defines a new category of enterprise transformation called Software-Orchestrated Services™ - where software orchestrates human expertise, digital workers, and enterprise systems to deliver governed outcomes at scale. As an AI Native Services firm, we help enterprises redesign how work gets done across operations, product, engineering, customer experience, data, and enterprise workflows to move beyond fragmented AI pilots and disconnected automation toward measurable business outcomes. Overview We are seeking a hands-on, collaborative Lead Data Engineer to drive the technical direction, architecture, and delivery of our data foundation for digital twin and AI-powered enterprise platforms. As Lead Data Engineer, you will provide technical leadership and guidance to the data engineering team, ensuring the delivery of robust, scalable, high-performance data pipelines that power real-time operational intelligence and simulation-ready data products. This role partners closely with data architects, simulation engineers, ML engineers, and platform teams. Our core data platform stack includes: Data Platform & Lakehouse - Databricks as the single point of truth for all data - Databricks SQL for analytical queries - Unity Catalog for metadata management and governance - Terradata for data warehouse and business intelligence. Stream & Event Processing - Apache Kafka for real-time event ingestion and streaming - Structured Streaming for continuous data processing - Delta Live Tables for declarative, quality-enforced pipelines Specialized Data Stores - TimescaleDB for time-series operational data Transformation & workflows - Python, Scala, and SQL for data transformation and orchestration - AI/ML workflows on Databricks models Data Quality & Governance - Great Expectations and Delta Live Tables expectations for data validation - Unity Catalog for metadata management and compliance - Work with Time‑series databases is a plus Key Responsibilities - Provide tec