Senior Data Architect: Cloud-Native Data Platform Lead

Randstad Digital Americas; Hanover (MD); On-site; USD 165,000 - 180,000; Full time

Benefits offered by this job

Benefits package

401K plan

Job summary

Randstad Digital Americas in Severn, MD, is seeking a highly skilled data professional to serve as the technical anchor for the platform engineering team, designing, modernizing, and securing a massive analytical estate with native cloud solutions.

This hands-on architectural role partners with business leaders to shape enterprise-wide integration initiatives, while delivering strong data governance, CI/CD automation, and robust ELT/ETL pipelines.

Qualifications

• Must have 10–12+ years in a data-related technical role.
• At least 5 years architecting modern solutions in Azure and Fabric ecosystems.
• Hands-on experience building scalable data pipelines with Advanced SQL and Python/PySpark.
• Experience with DevOps practices, version control, and Infrastructure as Code.
• Strong communication and executive-level presentation skills.

Responsibilities

• Collaborate with cross-functional teams to translate requirements into scalable data products.
• Mentor data engineers and provide architectural guidance without people management duties.
• Design and deploy ingestion frameworks and ELT/ETL pipelines across batch and real-time workloads.
• Architect and optimize Lakehouse structures with Medallion-style layering standards.
• Drive CI/CD automation, IaC, and data governance controls.

Skills

Azure

Python

SQL

PySpark

Data governance

CI/CD

IaC

Data architectures

DevOps

ETL/ELT pipelines

Education

Bachelor's degree

Tools

Azure Data Factory

Azure Synapse Analytics

Microsoft Fabric

Python

SQL

Job description

Randstad Digital Americas in Severn, MD, is seeking a highly skilled data professional to serve as the technical anchor for the platform engineering team, designing, modernizing, and securing a massive analytical estate with native cloud solutions.

This hands-on architectural role partners with business leaders to shape enterprise-wide integration initiatives, while delivering strong data governance, CI/CD automation, and robust ELT/ETL pipelines.