Lead Data Architect

Luxoft; Chicago (IL); On-site; USD 120,000 - 190,000; Full time

Job summary

Luxoft is seeking a Lead Data Architect to design scalable data architectures for a large US retail platform. The role focuses on big data processing, integration with existing cloud-native systems, and leading cross-functional teams to deliver robust data pipelines.

The ideal candidate has extensive Azure experience (ADF, Synapse, Data Lake, Databricks) and strong data modeling skills, with a track record of governance and performance tuning in cloud environments.

Qualifications

• 8+ years of overall experience, 1+ year in Architect role
• Hands-on with Azure Data Factory and Synapse (3+ years)
• Strong data modeling (conceptual, logical, physical) for storage/retrieval
• Expertise in Azure services: ADLS, Synapse, Data Factory, Databricks, pySpark
• Experience building robust ETL/ELT pipelines across data lakes/warehouses
• Data integration from databases, APIs, and external providers
• SQL proficiency for complex queries and performance tuning
• Metadata and governance in cloud data platforms
• Azure/Databricks certifications are a plus
• Experience with cloud-based analytical databases and Azure components
• Python-based ETL tools and shell scripting
• Ability to lead cross-functional teams and communicate with stakeholders

Responsibilities

• Design data architectures for big data processing and analytics
• Support migration and integration with current cloud-native architecture
• Lead cross-functional engineering teams and define technical strategy
• Mentor engineers and drive delivery of complex data platforms
• Ensure scalable, reliable data pipelines and governance

Skills

Azure Data Factory

Azure Synapse

Azure Data Lake Storage

Azure Databricks

pySpark

ETL/ELT pipelines

Data modeling

SQL

Data warehousing

API integration

Python

Shell scripting

Leadership

Tools

Docker

Kubernetes

Elasticsearch

Job description

Project description

The primary goal of the project is the modernization, maintenance and development of an eCommerce platform for a big US-based retail company, serving millions of omnichannel customers each week.

Solutions are delivered by several Product Teams focused on different domains – Customer, Loyalty, Search and Browse, Data Integration, Cart.

Current overriding priorities are new brands onboarding, re-architecture, database migrations, migration of microservices to a unified cloud-native solution without any disruption to business.

Responsibilities

We are looking for Data Architect who will be responsible for designing a solution for a big retail company. The main focus is to support processing of big data volumes and integrate solution to current architecture.

Skills

Must have

• Readiness to work until 8.00 pm CET (no need to do overtimes)
• Overall years of experience required 8+ (at least 1+ year in an Architect position)
• Strong, recent hands‑on expertise with Azure Data Factory and Synapse is a must (3+ years).
• Strong expertise in designing and implementing data models, including conceptual, logical, and physical data models, to support efficient data storage and retrieval.
• Strong knowledge of Microsoft Azure, including Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks, pySpark for building scalable and reliable data solutions.
• Extensive experience with building robust and scalable ETL/ELT pipelines to extract, transform, and load data from various sources into data lakes or data warehouses.
• Ability to integrate data from disparate sources, including databases, APIs, and external data providers, using appropriate techniques such as API integration or message queuing.
• Proficiency in designing and implementing data warehousing solutions (dimensional modeling, star schemas, Data Mesh, Data/Delta Lakehouse, Data Vault)
• Proficiency in SQL to perform complex queries, data transformations, and performance tuning on cloud-based data storages.
• Experience integrating metadata and governance processes into cloud-based data platforms
• Certification in Azure, Databricks, or other relevant technologies is an added advantage
• Experience with cloud-based analytical databases.
• Experience with Azure MI, Azure Database for Postgres, Azure Cosmos DB, Azure Analysis Services, and Informix.
• Experience with Python and Python-based ETL tools.
• Experience with shell scripting in Bash, Unix or windows shell is preferable.
• Demonstrated ability to lead cross-functional engineering teams, define technical strategy and architecture, drive delivery of complex data platforms, mentor engineers, and effectively communicate with stakeholders at all organizational levels.

Nice to have

• Experience with Elasticsearch
• Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
• Troubleshooting and Performance Tuning: Ability to identify and resolve performance bottlenecks in data processing workflows and optimize data pipelines for efficient data ingestion and analysis.
• Collaboration and Communication: Strong interpersonal skills to collaborate effectively with stakeholders, data engineers, data scientists, and other cross-functional teams.
• Ability to plan, estimate and track progress of implementing features
• Computer Science and data science academic and education credentials

Other

Languages

English: B2 Upper Intermediate

Seniority

Lead