Data Platform Architect

Artech

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.

Apply

Vacancy posted 2 days ago

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