Lead / Architect Data Engineer (Azure Stack)

Lead / Architect Data Engineer (Azure Stack) Location: Remote Working Hours: Overlap until 8:00 PM CET (Standard 9:00 AM – 6:00 PM CST – No overtime required!) Experience: 8+ Years Overall (with 1+ year in a Lead/Architect role) ️ Language: English (B2+ Upper-Intermediate) NOTE: LUXOFT ONLY OPERATES UNDER CLT CONTRACT PLEASE APPLY WITH YOUR ENGLISH CV Project Overview Want to impact millions of omnichannel customers every single week? We are partnering with a massive US-based retail giant to spearhead the modernization, re-architecture, and cloud-native migration of their massive eCommerce platform! You will step in as a technical leader across key product domains (Customer, Loyalty, Search, Cart, and Data Integration). Your primary mission? Drive new brand onboardings, execute complex database migrations, and scale microservices to a unified cloud-native solution with zero business disruption . Your Core Responsibilities Architect & Design: Lead the blueprinting of scalable enterprise data solutions tailored for massive retail data volumes. Pipeline Engineering: Build and optimize robust, end-to-end ETL/ELT pipelines pulling from disparate databases, APIs, and message queues. Data Modeling: Define the conceptual, logical, and physical data models to optimize high-performance storage and retrieval. Technical Leadership: Define technical strategies, mentor mid-to-senior engineers, and act as a trusted advisor to executive stakeholders. ️ Mandatory Requirements (The Must-Haves) Azure Cloud Data Master: 3+ years of intense, recent hands-on expertise with Azure Data Factory and Azure Synapse is an absolute must. Modern Architectures: Proficient in dimensional modeling, star schemas, Data Mesh, Data/Delta Lakehouses, and Data Vault. The Azure Ecosystem: Deep knowledge of Azure Data Lake Storage (ADLS), Azure Databricks, and pySpark . Database Administration & Performance: Heavy background working with Azure MI, Azure Database for PostgreSQL, Azure Cosmos DB, Azure Analysis Services, and Informix . Data Language Fluency: Expert-level SQL (complex queries, performance tuning) and Python (plus shell scripting in Bash/Unix). Schedule Alignment: Must be fully comfortable working up to 8:00 PM CET (which perfectly maps to a standard 9:00 AM - 6:00 PM CST workday!). Nice-to-Have Skills (Stand Out from the Crowd) Experience with Elasticsearch. Familiarity with containerization (Docker, Kubernetes). Strong feature planning, estimation, and progress tracking skills. Computer Science or Data Science academic credentials. What's in it for You? Massive Scale: Work on a real-time system serving millions of users weekly. 100% Remote: Work comfortably from your home office. Work-Life Balance: Firmly bounded working hours—no mandatory or unbacked overtime. How to Apply If you are an elite Azure Data Architect ready to transform a retail empire, let's talk! Drop your resume or send a DM directly! Note to Applicants: To speed up your review process, please include a quick note confirming your experience with Azure Database Factory and any active Azure/Databricks certifications (with ID/links if available)!