Solution Architect - Aftermarket Solutions

Solution Architect - Aftermarket Solutions

Job Title: Solution Architect - Aftermarket Solutions (Aerospace/Energy/Automotive)

Job Description: We are seeking a Solution Architect with expertise in developing aftermarket solutions for the aerospace, energy, or automotive industry. The ideal candidate will have a strong background in software architecture and a deep understanding of the unique requirements and challenges in the aftermarket sector of these industries, with specific skills in AWS or Azure platforms, data platforms using Databricks or Snowflake, and AI/ML technologies.

Responsibilities:

• Design and architect aftermarket solutions that meet the specific needs of the aerospace, energy, or automotive industry, leveraging AWS or Azure cloud platforms.
• Develop and implement data strategies using Databricks or Snowflake to manage and analyze large datasets.
• Integrate AI/ML capabilities into solutions to enhance data insights, predictive analytics, and automation.
• Collaborate with cross-functional teams to gather requirements, define specifications, and ensure alignment with business objectives.
• Lead the development and implementation of software solutions, ensuring integration with existing systems and platforms.
• Oversee the entire solution lifecycle, from concept to deployment and support.
• Conduct thorough testing and validation to ensure the reliability and performance of solutions.
• Provide technical leadership and guidance to development teams.
• Stay updated on industry trends and advancements to continuously improve the software architecture.
• Document architectural designs and maintain comprehensive records for future reference.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Proven experience as a Solution Architect, with a focus on developing aftermarket solutions for the aerospace, energy, or automotive industry.
• Strong proficiency in software architecture principles and design patterns.
• Experience with AWS or Azure cloud platforms, and data platforms such as Databricks or Snowflake.
• Knowledge of AI/ML technologies and their application in data analysis and automation.
• Familiarity with programming languages such as Java, C++, or Python.
• Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
• Strong communication and leadership skills to effectively collaborate with cross-functional teams and guide development efforts.