Senior (Lead) Data Engineer

Imagine stepping into a high-impact leadership role where you don't just write code - you define the blueprint. As a senior data leader for our client, you will guide the evolution of an enterprise-scale cloud data estate, turning raw data into strategic intelligence that protects millions of our clients customers. Why Join Our Client? Our client has built on a culture of high performance, professional challenge, and healthy work-life balance. Cutting-Edge Stack: This is a modern, cloud-native ecosystem leveraging Snowflake, Core AWS services, and Python at true enterprise scale. Architectural Ownership: You will champion advanced frameworks like Data Vault 2.0 (Hubs, Links, Satellites) and modern event-driven ELT pipelines. Dual Impact: You get the best of both worlds—acting as a hands-on technical authority while mentoring a talented engineering squad and setting coding standards. Complex Data Challenges: You will solve intricate integration puzzles, including data warehousing with core platforms like Guidewire (PolicyCenter, ClaimCenter, BillingCenter). The Mission: What You’ll Accomplish As a Senior (Lead) Data Engineer , you will drive technical excellence, solution design, and platform modernization across the organization. Define Technical Architecture: Evolve the enterprise data platform using Snowflake, advanced ELT patterns, and metadata-driven designs. Drive Snowflake Optimization: Own performance tuning, warehouse sizing, and cost optimization utilizing advanced features like Snowpipe, Streams, Tasks, and Snowpark. Lead & Mentor: Serve as the technical anchor for data engineers—conducting code reviews, establishing DataOps/DevOps best practices, and fostering continuous learning. Own the Delivery Pipeline: Translate complex business requirements into scalable batch, micro-batch, and real-time ingestion pipelines. Ensure Operational Excellence: Implement robust monitoring and observability frameworks (CloudWatch, Datadog) to guarantee reliability and data accuracy. What You Bring We are looking for a heavyweight data engineer who combines deep cloud architecture expertise with the ability to influence technical direction. Proven Track Record: 8+ years of data engineering experience, including 2+ years leading teams or guiding architecture decisions. Snowflake Mastery: Deep hands‑on experience with advanced Snowflake capabilities, automated ELT frameworks, and expert level SQL optimization skills. Modeling & Integration Expertise: Proven success implementing Data Vault 2.0 and dimensional models, alongside proficiency in tools like Informatica (IDMC/PowerCenter), AWS Glue, and Python. Cloud Platform Prowess: Solid experience designing and delivering large-scale data solutions natively within AWS . Preferred Tech Toolbelt (Nice to Haves) Modern DataOps/DevOps (Terraform, GitHub Actions) Streaming technologies (Kafka, Kinesis) Ready to Shape the Future of Data? If you are an innovative senior engineer who wants to own a major cloud data strategy and elevate an engineering team, let's connect. #J-18808-Ljbffr