Job Description
Job Description 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.