Data Solutions Architect– S&SD
Job title:
Data Solutions Architect/Developer Role – S&SD
Key Areas of Responsibilities:
- Work closely with clients and internal stakeholders to gather requirements and define data solution architecture.
- Work to design and architecture of end-to-end software solutions, ensuring alignment with business objectives, scalability, and performance.
- Collaborate with stakeholders to gather and analyze requirements and translate them into technical specifications and architectural designs.
- Evaluate existing systems and technologies, identify areas for improvement, and propose innovative solutions.
- Develop prototypes and proof-of-concepts to validate architectural decisions and demonstrate feasibility.
- Define coding standards, best practices, and guidelines to ensure high-quality and maintainable software solutions.
- Provide technical guidance and mentorship to development teams, fostering a culture of excellence and continuous learning.
- Stay abreast of emerging technologies, industry trends, and best practices, and incorporate them into the architectural roadmap.
- Conduct architecture reviews, code reviews, and performance assessments to identify areas for optimization and enhancement.
- Collaborate with product managers, engineers, and other stakeholders to prioritize features, define technical requirements, and drive product development initiatives.
Job Knowledge, Skills, Education and Experience Requirements:
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
- 5+ years of experience as a data engineer, data architect, or software developer, with a focus on building data solutions.
- Experience with Python, .Net 6+ (Maui/Blazor Frameworks preferable)
- AWS Solution Architect Associate or equitable
- AWS Developer Associate or equitable
- Experience designing, documenting, and implementing data architecture and infrastructure solutions.
- Strong understanding of data modeling principles and techniques.
- Excellent documentation skills with the ability to clearly communicate complex technical concepts.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
- Ability to work effectively in a fast-paced and dynamic environment.
Additional skills and experience that are desirable:
- Preference to work GMT-7, GMT-6, or GMT-5 time zones.
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Knowledge of data visualization tools (e.g., Tableau, PowerBI).
- Experience with DevOps practices and tools (e.g., Git, Jenkins, Terraform).
- Familiarity with agile development methodologies.
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