Principal Data Solution Architect

Job Description

A Roles & Responsibilities: Responsible for designing/building data products, logical data layers, data streams, algorithms and reporting systems (i.e. dashboards, front ends). Secure correct designed solution, performance and scalability Considering appropriate cost control. Link data product design with DevOps and Infrastructure. Act as a reference within and outside DEA team. Be a technical partner to Data Engineer(s) regarding digital product implementation. Responsible for developing visualizations for complex data sets. Provide guidance to internal DEA associates, IT and business users on data solutions available and related guidelines/standards. Familiarity with neuro-linguistic programming (NLP) and other advanced techniques to simplify interfaces. Work across data analytics projects to provide support in data analytics methodology, processes and standards. Create/Deliver user training. Responsible for user acceptance testing (in collaboration with business/demand owners). Work closely with internal team members, on/off-shore contractors and strategic business unit (SBU) IT/business associates to develop guiding principles/best practices for determining solution architecture that will be needed for a particular information requirement. Develop an in-depth understanding of DEA data for communication and support of business/SBU support. Work with the SBU counterparts to develop/manage roles and processes for on-going user support and solution architecture administration. Participate/Assist in conducting user group meetings Skills Required: Proven success interfacing with the business community and identifying business requirements Minimum 5+ years of experience in developing advanced data pipelines in Python & SQL. Strong experience of configuring and deploying AWS infrastructure using Terraform, etc. Strong experience of developing DevOps pipelines using GitHub / GitHub Actions. Prior experience of working with Snowflake and/or other Data Warehouses. Some exposure to AI/ML based applications is good to have. Excellent analytical and problem-solving skill Expertise in data warehouse concepts, methodology and technology Excellent interpersonal/communication skills - Ability to work in a dynamic team environment and be comfortable/credible interacting with both technical/business organizations and executive management The highest-level of personal ethics - Ability to keep sensitive information confidential - Unquestionable integrity and character Knowledgeable in current and possible future policies, practices, trends, technologies and information Understands and works with the organization's mission, operations, structure and goals Working knowledge of Goodyear operational systems (e.g. SAP/R3) - Desired