Senior Data Architect

job summary: A premier global enterprise is actively seeking a highly skilled data professional to act as the technical anchor for their platform engineering team. In this role you will design, modernize, and secure a massive analytical estate while bypassing legacy systems to build native cloud solutions. This is a hands-on architectural role where you will partner directly with business leaders and shape the strategic direction of an enterprise-wide integration initiative. We offer comprehensive medical, dental, and vision coverage to keep you and your family healthy

location: Severn, Maryland job type: Permanent salary: $165,000 - 180,000 per year work hours: 9am to 5pm education: Bachelors

responsibilities:

• Collaborate directly with cross-functional technical teams and corporate business leaders to translate complex requirements into scalable, AI-ready data products.
• Act as a player-coach, actively writing Python and SQL while mentoring internal data engineers and providing strong architectural guidance without direct people management duties.
• Design and deploy configuration-based ingestion frameworks and robust ELT/ETL pipelines across batch and real-time streaming workloads.
• Architect and optimize modern Lakehouse structures ensuring strict adherence to Medallion-style layering standards.
• Drive operational excellence by implementing CI/CD automation, declarative Infrastructure as Code (IaC), and stringent data governance controls.

qualifications: Must-Haves:

10 to 12+ years of overall progressive experience in a data-related technical role. At least 5 years of proven experience architecting modern solutions specifically within Microsoft Azure and Microsoft Fabric ecosystems. Deep, hands-on expertise building scalable data pipelines using Advanced SQL and Python/PySpark. Demonstrated success applying DevOps practices, version control, and Infrastructure as Code. Exceptional corporate maturity and communication skills, with the ability to confidently present to and align with executive business leaders. Nice-to-Haves:Prior experience architecting data integrations for major enterprise resource planning (ERP) or CRM system rollouts. Hands-on experience implementing enterprise data governance tools. Background in the heavy industrial or construction sectors.

skills: Kafka,Spark,APIs,AI,AI capabilities,Azure Data Factory,Azure Synapse Analytics,cloud,CI/CD,analytics,analytics capabilities,Data Architect,data architectures,data delivery,data governance,data quality frameworks,data ingestion,data integration,lineage tracking,logging,data-related,data platforms,ELT pipelines,data engineering solutions,data security,streaming data,Azure Event Hubs,data solutions,data validation,databases,DevOps,DevOps practices,dimensional modeling,disaster recovery,enterprise data platforms,integration solutions,ETL,ETL pipelines,file systems,indexing,data engineering,Infrastructure as Code,KQL,MQTT,data cataloging,metadata,Azure,Microsoft Azure,Dynamics 365 Finance,Dynamics 365,Microsoft Fabric,Python,semi-structured data,version control,Advanced SQL,Azure Stream Analytics,resilience,reliability,proactive,access control,architecture,architecting,automated,automation,operational efficiency,business needs,construction,Customer Engagement,data modeling,data quality,data products,ecosystems,governance,IoT,data contracts,reference architectures,resource utilization,security,scalability,semantic,solution designs,Warehouse,strategic resource,cost efficiency

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate’s education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

,

• Collaborate directly with cross-functional technical teams and corporate business leaders to translate complex requirements into scalable, AI-ready data products.
• Act as a player-coach, actively writing Python and SQL while mentoring internal data engineers and providing strong architectural guidance without direct people management duties.
• Design and deploy configuration-based ingestion frameworks and robust ELT/ETL pipelines across batch and real-time streaming workloads.
• Architect and optimize modern Lakehouse structures ensuring strict adherence to Medallion-style layering standards.
• Drive operational excellence by implementing CI/CD automation, declarative Infrastructure as Code (IaC), and stringent data governance controls.

Kafka,Spark,APIs,AI,AI capabilities,Azure Data Factory,Azure Synapse Analytics,cloud,CI/CD,analytics,analytics capabilities,Data Architect,data architectures,data delivery,data governance,data quality frameworks,data ingestion,data integration,lineage tracking,logging,data-related,data platforms,ELT pipelines,data engineering solutions,data security,streaming data,Azure Event Hubs,data solutions,data validation,databases,DevOps,DevOps practices,dimensional modeling,disaster recovery,enterprise data platforms,integration solutions,ETL,ETL pipelines,file systems,indexing,data engineering,Infrastructure as Code,KQL,MQTT,data cataloging,metadata,Azure,Microsoft Azure,Dynamics 365 Finance,Dynamics 365,Microsoft Fabric,Python,semi-structured data,version control,Advanced SQL,Azure Stream Analytics,resilience,reliability,proactive,access control,architecture,architecting,automated,automation,operational efficiency,business needs,construction,Customer Engagement,data modeling,data quality,data products,ecosystems,governance,IoT,data contracts,reference architectures,resource utilization,security,scalability,semantic,solution designs,Warehouse,strategic resource,cost efficiency