Data Solutions Architect – Onsite
Position Overview:
GM Performance Power Units is seeking a Data Solutions Architect to lead the development of our next-generation data platform, powering advanced analytics and machine learning for high-performance powertrain engineering. This is a senior technical specialist position responsible for architecting, implementing, and optimizing large-scale, cloud-first data infrastructure.
Key Responsibilities
• Design, architect, and implement scalable data systems integrating on-premises and cloud infrastructure (AWS or Azure).
• Lead development of hybrid data architecture, supporting batch and real-time data analytics across a diverse array of testing data and other large datasets.
• Develop robust data pipelines and orchestrate ETL processes using technologies such as Apache Kafka, Apache Airflow, Delta Lake, and Apache Arrow.
• Implement and optimize Data Warehousing, Data Lakes, and Lakehouses using SQL, noSQL, and Parquet file formats.
• Advance Data Management, Data Orchestration, and Data Architecture best practices to ensure integrity, quality, and accessibility of diverse engineering data sources.
• Drive infrastructure automation (Infrastructure as Code) leveraging Terraform and Kubernetes to support dynamic, multi-cloud deployments.
• Champion MLOps and CI/CD processes to support continual integration, deployment, and monitoring of machine learning models.
• Facilitate machine learning workflows using Databricks, Apache Spark, TensorFlow, and PyTorch, collaborating closely with engineering and data science teams.
• Oversee the integration of tools for pipeline monitoring, observability, and real-time reporting, ensuring seamless flow of data for both live and historical analysis.
• Provide technical mentorship and leadership to staff, supporting their professional development within a high-performance engineering environment.
• Develop, maintain, and enforce architecture standards, best practices, and design patterns.
• Ability to bridge business needs with scalable, secure, and cost-effective data and AI solutions.
• Ability to translate complex technical concepts into clear business value propositions for both technical and non-technical audiences.
Required Qualifications
• Bachelor’s in computer science or a related technical field, or equivalent experience.
• 8–10+ years of experience in data engineering, systems/cloud engineering, or related fields.
• 2–3 years as a data architect or data solutions architect overseeing complex, large-scale data infrastructure.
• Deep expertise in AWS or Azure and hybrid architectures (cloud and on-premises).
• Hands-on experience with Python, Apache Spark, Databricks, and Terraform.
• Practical knowledge of containers and orchestration with Kubernetes.
• Demonstrated ability to design and deploy data lakes, data warehouses, and lakehouse architectures.
• Strong background in SQL and noSQL database systems.
• Skilled in batch and real-time analytics, data management, ETL, infrastructure as code (IaC), and CI/CD pipelines.
• Thorough understanding of the end-to-end ML lifecycle, from ingestion to deployment and monitoring.
Preferred Qualifications
• MS in Computer Science or a related technical field.
• Deep familiarity with Cloud Technologies and Terraform, including orchestration of codified VPCs, EKS clusters, IAM least-privilege policies, and managing multi-account environments.
• Strong experience with workflow and metadata orchestration tools such as Apache Airflow and MLflow.
• Familiarity with Apache Kafka, Delta Lake, Apache Arrow, Parquet, Kubernetes, TensorFlow, PyTorch, and advanced data pipelines.
Please note: GM Performance Power Units and all affiliated companies are Equal Opportunity employer(s). Minorities, women, veterans, and individuals with disabilities are encouraged to apply. For more information regarding the EEOC, please visit https://www.eeoc.gov/sites/default/files/2023-06/22-088EEOCKnowYourRig...
Only direct hires need apply to or inquire about job postings at GM Performance Power Units. We are not accepting calls, resumes or applications from recruiting firms now.