Lead Data Architect

About the Position

We are seeking a Lead Data Architect with over 8+ years of experience to join our team in Chicago, US. 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.

Responsibilities

• Designing a solution to support processing of big data volumes and integrating the solution into the current architecture.
• Leading cross-functional engineering teams, defining technical strategy and architecture, and driving the delivery of complex data platforms.
• Mentoring engineers and effectively communicating with stakeholders at all organizational levels.

Requirements

• 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 (3+ years)
  • Designing and implementing data models, including conceptual, logical, and physical data models
• Strong knowledge of Microsoft Azure, including:
  • Azure Data Lake Storage
  • Azure Synapse Analytics
  • Azure Data Factory
  • Azure Databricks
  • pySpark for building scalable and reliable data solutions
• Extensive experience with:
  • Building robust and scalable ETL/ELT pipelines
  • Integrating data from disparate sources, including databases, APIs, and external data providers
  • 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
  • Integrating metadata and governance processes into cloud-based data platforms
• Experience with:
  • Azure MI, Azure Database for Postgres, Azure Cosmos DB, Azure Analysis Services, and Informix
  • Python and Python-based ETL tools
  • Shell scripting in Bash, Unix, or Windows shell
• Certification in Azure, Databricks, or other relevant technologies is an added advantage

Nice to Have

• Experience with:
  • Elasticsearch
  • Containerization and orchestration technologies (Docker, Kubernetes)
• Ability to:
  • Troubleshoot and perform tuning to identify and resolve performance bottlenecks in data processing workflows and optimize data pipelines
  • Collaborate and communicate effectively with stakeholders, data engineers, data scientists, and other cross-functional teams
• Familiarity with:
  • Planning, estimating, and tracking progress of implementing features
  • Computer Science and data science academic and education credentials

We Offer

• Competitive salary
• Opportunity to work on a cutting-edge project
• Collaborative and innovative work environment

About the Company

DXC Luxoft is a leading global provider of digital transformation and technology services, helping clients accelerate their digital journey and achieve their business goals.

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