What are the responsibilities and job description for the Big Data Solution Architect position at Fleet Jobs?
Summary Statement
Your will be designing architecture solutions for enterprise level systems with a team of industry leading experts to enable us to provide innovative solutions and services to our customers using cutting edge technologies.
What will you be doing :
Solution Design : Design and architect end-to-end big data solutions, including data ingestion, storage, processing, and analytics components, to meet business requirements and performance objectives.
Technology Evaluation : Evaluate and recommend appropriate big data technologies, platforms, and frameworks based on business needs, technical requirements, and industry best practices.
Data Integration : Design data integration pipelines and workflows to ingest data from multiple sources, including databases, data warehouses, streaming platforms, and external APIs.
Performance Optimization : Identify performance bottlenecks and optimization opportunities in big data solutions and recommend optimizations in areas such as data partitioning, indexing, caching, and resource utilization.
Scalability and Reliability : Architect highly scalable and fault-tolerant big data architectures that can handle large volumes of data, support concurrent user access, and maintain high availability.
Documentation and Communication : Create technical documentation, architecture diagrams, and solution blueprints to communicate design decisions, best practices, and implementation guidelines to stakeholders and project teams.
- Conceptualize, architect, and communicate the Solution architecture and roadmap.
- Act as a bridge between various technology groups : Data Architecture, Platform Architecture, Information Security, and Data Architecture.
- Guide software development and infrastructure engineering teams to adopt Cloud, hybrid, and on-premises cloud-native architecture.
- Conduct evaluations of competing technologies and provide well-informed recommendations.
- Identify areas for improvement and recommend adaptation roadmaps.
- Architect, construct, and oversee an efficient data platform utilizing modern, low / no code cloud technologies (AWS), interfacing with existing data services and storages.
- Mentor junior platform engineers, data engineers, developers, and operators, championing best practices and well-architected infrastructure.
- Define productivity strategies on Kubernetes for container orchestration in a cloud environment.
- Develop strategies for legacy modernization and cloud adoption for existing solutions.
- Establish operationalization standards for supporting Cloud-based architecture.
- Collaborate to evolve a sophisticated data model, collaborating with executives, engineers, product managers, scientists, and partners to harness structured data from diverse source systems.
- Advocate and educate engineering team members on software design principles, standards, and best practices.
- Leverage external engagements as needed to expedite projects.
- Other duties as assigned.
Penske Qualifications
Physical Requirements
Penske is an Equal Opportunity Employer
About Penske Truck Leasing / Transportation Solutions
Penske Truck Leasing / Transportation Solutions is a premier global transportation provider that delivers essential and innovative transportation, logistics and technology services to help companies and people move forward. With headquarters in Reading, PA, Penske and its associates are driven by a dedication to excellence and a commitment to customer success. Visit Go Penske to learn more.
Job Category : Information Technology
Job Family : Information Technology
Address : 100 Gundy Drive
Primary Location : US-PA-Reading
Employer : Penske Truck Leasing Co., L.P.
Req ID : 2411746
Salary : . Date posted : 02 / 26 / 2025
