Data Architect — Build Trusted Data Platforms & AI-Ready Pipelines

Skanska USA; Charlotte (NC); On-site; USD 120,000 - 160,000; Full time

Job summary

Skanska USA is seeking a Data Architect to translate business strategy into secure, scalable data solutions across diverse platforms. You will govern data, drive best practices, and partner with cross-functional teams to ensure quality, privacy, security, and cost efficiency in analytics initiatives.

The role focuses on establishing trusted data foundations for analytics, self-service, automation, ML, and AI, while collaborating with data owners, cybersecurity, and enterprise architecture to

Qualifications

• 5+ years progressively responsible data architecture, data engineering, data integration, analytics engineering, or enterprise information management.
• 3+ years designing, developing, and supporting ETL/ELT pipelines using SSIS, Azure Data Factory, Azure Functions, Logic Apps, Synapse or similar.
• 3+ years with APIs, orchestration, batch integration, incremental loading, CDC, file-based integration, and event/streaming patterns.
• 3+ years with Microsoft Fabric (preferred) or Databricks, data lakehouses, data warehouses, Apache Spark, Delta tables, data pipelines, orchestration.
• 2+ years designing cloud-based or hybrid data architectures.
• 2+ years with Git, automated testing, CI/CD, DataOps/DevOps, change and release management.

Responsibilities

• Translate business strategy and requirements into secure, scalable data solutions with governance across platforms.
• Partner with data owners, stewards, cybersecurity, enterprise architecture, data engineering, analytics to meet quality, privacy, and performance needs.

Skills

5+ years of data architecture

SSIS, Azure Data Factory, Synapse

APIs, orchestration, CDC

Microsoft Fabric or Databricks

Cloud-based/hybrid data architectures

Git, CI/CD, DataOps/DevOps

Education

Bachelor’s degree in computer science/information systems/data engineering

Job description

Skanska USA is seeking a Data Architect to translate business strategy into secure, scalable data solutions across diverse platforms. You will govern data, drive best practices, and partner with cross-functional teams to ensure quality, privacy, security, and cost efficiency in analytics initiatives.

The role focuses on establishing trusted data foundations for analytics, self-service, automation, ML, and AI, while collaborating with data owners, cybersecurity, and enterprise architecture to