Lead / Architect Data Engineer (Azure Stack)Location: RemoteWorking 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 CONTRACTPLEASE APPLY WITH YOUR ENGLISH CVProject OverviewWant 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 ApplyIf 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)!