Big Data Solution Architect

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 Bachelor’s degree in computer science, Engineering, or related field or 10 years of experience in IT. Candidates with lesser experience will be considered if they have exemplary proven accomplishments. Hands on expertise in one or more of the following programming languages – Java, Python, JavaScript, Golang is a MUST Experience with server-side programming languages is a MUST. A strong hands-on expertise with Kubernetes and associated technologies is a MUST . In depth experience and Proficiency with tools like Kafka, Kubernetes, OpenSearch/ELK stack, and Observability platforms (Monitoring, Logging) is preferred. Experience with application build and deployment patterns on Kubernetes. Strong familiarity with Cloud native development patterns, and hands-on software development experience in Java, Spring stacks. Substantial in-depth (5 years) experience in data storage technologies (RDBMS, MYSQL, Postgres, S3), including robust expertise in application, data, and infrastructure architecture disciplines. In-depth DBA-level expertise is not required. Experience in devising security standards for multi-protocol data access, along with experience in applying data authorization standards. Experience with CI/CD practices. Extensive Experience with App containerization using Docker and Kubernetes for container management. Knowledge of Tanzu Kubernetes Grid or Tanzu services is beneficial. Extensive experience in cloud architecture, particularly with AWS, including familiarity with Cloud hosting platforms such as Tanzu Application Service. Large-scale experience in designing and deploying applications on containers in a high-availability topology. Experience in operationalizing AI/ML models is preferred. Experience in the full Software Development Lifecycle and Agile methodology Excellent communication, presentation, and problem-solving skill. Deep understanding and application of EAI patterns MUST have 5 years hands-on experience in designing and architecting highly available, resilient and performant systems. MUST be able to articulate design tradeoffs , technology choices to executive leadership Physical Requirements • The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • The associate must regularly lift and /or move up to 25lbs/12kg. • Specific vision abilities required by this job include Close vision, Distance vision, Peripheral vision, Depth perception and Ability to adjust focus. • While performing the duties of this Job, the associate is regularly required to stand; walk; sit and talk or hear. The associate is frequently required to use hands to finger, handle, or feel and reach with hands and arms. 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