Job Description: • Actalent’s Client R&D group is looking to innovate the efficiency and automation of their data pipeline. This includes how to how to more efficiently and accurately collect customer data through data production, data transformation, and data storage • Analyze system architecture that include smart displays on offhighway equipment, telematics or edge devises, ethernet or CAN communication, cell or wifi communication, cloud computing for ingestion and routing and machine learning processing. • Design and architect scalable and reliable data pipelines to automate data processing workflows. • Development and test software to implement prototype code to prove out designs • Collaborate with data scientists, engineers, and stakeholders to understand data needs and requirements. • Develop and implement ETL processes to transform and load data from various sources into our data warehouse. • Optimize data pipelines for performance, scalability, and efficiency. Additional Responsibilities: • Join a team responsible for the creation of data architectural designs and development of related best practices. This role works closely with the engineering teams to understand business requirements, develop supporting data model designs, and contribute to data architecture best practices. • Transform business requirements into conceptual, logical, and physical data models which support data deployment architectures across multiple data domains. • Promote and support a data-driven culture of quality, collaboration, rapid delivery, and business impact. • Collaborate with Product Managers, Delivery leads, System Engineers, Data Analysts, Data Stewards, Business Stakeholders and Software Development teams to actively contribute during the solution design process. This includes reviewing potential solutions and making necessary adjustments based on feedback. • Author, refine, and collaborate on improvement of corporate data architecture standards, procedures, and metrics. • Communicate data architecture related concepts to both business and development teams. • Work to integrate Data Architecture with the existing software delivery deployment process. Required Qualifications: • BS/MS in Computer Engineering or Computer Science • Experience designing Data Pipeline architecture or similar role with responsibilities including (have to have experience making architecture decisions - don't need title): • Eliciting and capturing detailed requirements from stakeholders • Analyzing requirements to design overall architecture • Documenting architecture in various formats • Performing impact analysis, assessing the effects of modifications on system architecture • Strong proficiency (one or more) in programming languages such as Python, Golang, or Java • Experience with ETL tools and frameworks (Apache tools, AWS Lambda). • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) their data services, and deployment strategies. • Knowledge of data modeling, database design, and data warehousing concepts. • Experience with container orchestration tools (Docker, Kubernetes) • Ability to create supporting documentation such as design documents, architecture diagrams, test procedures and reports. • Good oral and written communication skills with the ability to professionally support periodic communication to management and technical teams • Experience with Agile Scrum development methodologies and common workflow tools: GIT, Jira, etc • Need to be able to code (cannot be a hands off architect) • Experience with ER/Studio • Must have experience on at least one product based project (auto, medical etc.) • (NEW) Need to be the Architect (title or not) making big architecture decisions for 3 years or more in your career Nice to have: • Experience in the off highway heavy machinery, automotive or industrial control industry • Experience designing software for a distributed ECU system using CAN or Ethernet communication • Understanding of machine learning and AI concepts • Experience developing software in C++