Application Architect III

Introduction

We are seeking a highly experienced professional to lead the strategic modernization of our enterprise data ecosystem. This role will be responsible for defining and executing the architecture for large-scale data platform transformations, utilizing cutting-edge technologies both on-prem and in the cloud. The ideal candidate has successfully delivered similar data modernization programs at enterprise scale and possesses deep expertise in cloud architectures, distributed computing, data engineering best practices, and large-scale data migrations.

Required Skills & Qualifications

• 10 years of experience in data platform architecture, data engineering, or distributed systems.
• Demonstrated experience leading enterprise-scale cloud migration initiatives involving hundreds of terabytes or petabytes of data.
• Strong experience with Databricks, Apache Spark, Apache Kafka, AMPS, MQ, Hadoop, or experience with other enterprise messaging systems.
• Strong software engineering background with expertise in Java, Python, SQL (any flavor), and other object-oriented programming languages.
• Experience designing highly available, scalable distributed systems.
• Strong understanding of data governance, security, compliance, and operational monitoring.
• Bachelor’s Degree
• Prior work experience at client or in client's Industry

Applicants must be able to work directly for Artech on W2.

Preferred Skills & Qualifications

• Databricks certification(s)
• AWS Solutions Architect certification(s)
• Experience implementing lakehouse architectures.
• Experience designing streaming and real-time analytics platforms.
• Experience within highly regulated financial services or enterprise environments.
• Master’s Degree

Day-to-Day Responsibilities

• Define the target-state architecture for enterprise data platforms and cloud-native analytics solutions.
• Lead the migration of large-scale data environments from on-premises platforms to a cloud environment.
• Design scalable, resilient, and secure data architectures capable of supporting petabyte-scale workloads.
• Establish architectural standards, governance frameworks, and engineering best practices.
• Partner with infrastructure, security, and application teams to ensure alignment with enterprise cloud strategies.
• Evaluate and recommend technologies for data storage, processing, streaming, governance, and observability.
• Provide technical leadership and mentorship to engineering teams implementing Spark, Kafka, Databricks, and cloud-native services.
• Drive performance optimization, cost management, and operational excellence across the data platform.
• Support executive stakeholders with migration roadmaps, risk assessments, and modernization strategies.

For immediate consideration please click APPLY to begin the screening process with Alex.