Data Architect

Skanska USA•Charlotte, NC

5d•Hybrid

About The Position

Skanska is searching for a dynamic Data Architect. This is a great opportunity to start a career with a company that builds things that matter and values its team. We are proud to share our culture of diversity and inclusion. Our work makes a clear contribution to society and the environment around us. We build in many different verticals. Whether we are building schools to provide inspiring spaces for learning, roads to connect communities or hospitals to care for patients, it all contributes to our purpose – we build for a better society. Skanska's values —Be Better Together, Act Ethically and Transparently, Commit to Customer, and Care for Life—are deeply engrained in how we work, which is why our values support and drive our D&I efforts. The Data Architect is responsible for translating business strategy and requirements into secure, scalable, supportable, and governed data solutions. This role emphasizes driving best practices and standardization across diverse data platforms and tools. The Data Architect partners with business leaders, data owners, data stewards, cybersecurity, enterprise architecture, data engineering, analytics engineering, and application teams to ensure that data solutions are aligned with business needs and meet requirements for quality, privacy, security, interoperability, performance, reliability, observability, and cost. The role provides architectural ownership throughout the solution lifecycle and helps establish the trusted data foundation required for analytics, self-service, automation, machine learning, and AI.

Requirements

5+ years of progressive experience in data architecture, data engineering, data integration, analytics engineering, or enterprise information management.
3+ years of experience designing, developing, and supporting ETL/ELT pipelines using technologies such as SQL Server Integration Services (SSIS), Azure Data Factory, Azure Functions, Logic Apps, Azure Synapse Analytics, or similar data integration platforms.
3+ years of experience with APIs, orchestration, batch integration, incremental loading, CDC, file-based integration, and event or streaming patterns.
3+ years of experience with Microsoft Fabric (preferred) or Databricks, including exposure to data lakehouses, data warehouses, Apache Spark, Delta tables, data pipelines, and orchestration.
2+ years designing cloud-based or hybrid data architectures.
2+ years of experience with Git, automated testing, CI/CD, DataOps/DevOps, change management, and release management.
Bachelor’s degree in computer science, information systems, data engineering, or a related discipline.
Currently, the company is not considering applicants for this position who now or in the future require employment sponsorship by the company.

Nice To Haves

Microsoft Fabric (preferred)

Responsibilities

Translating business strategy and requirements into secure, scalable, supportable, and governed data solutions.
Driving best practices and standardization across diverse data platforms and tools.
Partnering with business leaders, data owners, data stewards, cybersecurity, enterprise architecture, data engineering, analytics engineering, and application teams to ensure that data solutions are aligned with business needs and meet requirements for quality, privacy, security, interoperability, performance, reliability, observability, and cost.
Providing architectural ownership throughout the solution lifecycle.
Helping establish the trusted data foundation required for analytics, self-service, automation, machine learning, and AI.