Data Architect

Remote Data Architect

Join an innovative R&D group focused on enhancing the efficiency and automation of their data pipeline, including data collection, transformation, and system architecture. Work with advanced technologies such as smart displays on off-highway equipment, telematics, edge devices, and cloud computing.

Responsibilities

• Design and architect scalable and reliable data pipelines to automate data processing workflows.
• Develop 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.
• Create data architectural designs and develop related best practices.
• Transform business requirements into conceptual, logical, and physical data models.
• 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 during the solution design process.
• Author, refine, and collaborate on the improvement of corporate data architecture standards, procedures, and metrics.
• Communicate data architecture-related concepts to both business and development teams.
• Integrate Data Architecture with the existing software delivery deployment process.

Essential Skills

• 7+ years of experience with Data Modeling, Data Warehousing, and working with large-scale datasets.
• Experience working with Business Architects, System Architects, Engineering, Data Architects, and/or Data Stewards to capture business requirements in a Logical Data Model.
• Expertise in data architecture best practices, relational data modeling, and data warehouse/data mart concepts.
• Experience in integrating Data Architecture with CI/CD processes.
• Comprehensive understanding of data lineage, data mapping, data security/confidentiality/privacy, and related data standards.
• Deep knowledge of entity-relationship diagrams, normalization, abstraction, denormalization, dimensional modeling, and metadata modeling practices.
• Working knowledge of Relational Database Management Systems (RDBMS) and SQL.
• Strong collaboration skills with experience driving conversations and influencing complex data design challenges.
• Ability to make decisions with limited knowledge while balancing best practices, schedule, and business needs.
• Strong communication skills to model and convey complex concepts both in writing and verbally.
• Ability to work with limited supervision, break down complex data architectural requirements, prioritize work, and execute.
• BS/MS in Computer Engineering or Computer Science.
• Proficiency in programming languages such as Python, Golang, or others.
• Experience with ETL tools and frameworks (Apache tools, AWS Lambda, etc.).
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and 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.
• Ability to code (hands-on architect).
• Experience with ER/Studio.

Additional Skills & Qualifications

• 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 additional programming languages.
• 5+ years of experience leveraging metadata within repositories.
• Working experience in AWS or exposure to other cloud technologies.
• Working knowledge of or exposure to Data Engineering tools and technologies (e.g., Databricks, Data Lake concepts).
• Working knowledge of AWS services such as Lambda, RDS, ECS, DynamoDB, API Gateway, S3, etc.
• Experience with REST API development or providing data architectural support during API development.
• Experience implementing and/or leveraging Data Governance and Stewardship program capabilities.
• Passionate, creative, and eager to learn new complex technical areas.
• Accountable, curious, and collaborative with a focus on quality.
• Skilled in interpersonal communications and ability to communicate complex topics to non-technical audiences.
• Experience working in an agile team environment.
• Ability to function in a fast-paced, collaborative team environment distributed across time zones and locations.

Work Environment

Work in a dynamic R&D environment utilizing advanced technologies such as telematics, edge devices, and cloud computing. Collaborate closely with cross-functional teams to drive innovation and efficiency in data architecture and processing workflows. The role may require working with diverse technologies and tools, including AWS, Python, Golang, Docker, and Kubernetes.