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)!