Data Platform Architect

Introduction

We are seeking a highly experienced professional to lead the strategic modernization of our enterprise data ecosystem. The role involves defining and executing the architecture for large-scale data platform transformations and utilizing cutting-edge technologies both on-premises and in the cloud.

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 other enterprise messaging systems.
• Proficiency in AWS cloud services and large-scale data warehouse or lakehouse platforms.
• Experience migrating data from platforms such as Vertica, Hadoop, Teradata, Oracle, Snowflake, or similar technologies.
• 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 in the 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.

Company Benefits & Culture

• Comprehensive health, dental, and vision insurance.
• 401(k) with company match.
• Flexible work environment with opportunities for remote work.

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