Lead the design of end-to-end solutions across data platforms and digital engineering initiatives.
Translate business needs into technical architecture and design specifications.
Ensure solutions are aligned with enterprise architecture frameworks and best practices (e.g., TOGAF).
Collaborate with cross-functional teams—including business analysts, data engineers, software developers, and DevOps—to deliver cohesive and scalable solutions.
Evaluate and select appropriate technologies, platforms, and frameworks to meet project and organizational needs.
Develop and maintain architectural artifacts, including high-level designs, data flow diagrams, system interactions, and integration patterns.
Drive the approval of the high-level designs through the governance process.
Perform Business capability modeling, business capability assessment including identification of gaps and opportunities, As-Is, Transition & Target Architecture views and recommend roadmaps/initiatives with prioritization.
Advocate and enforce architectural principles, standards, patterns and policies
Provide technical leadership, guidance, and mentorship to engineering teams.
Stay up to date on emerging technologies, industry trends, and best practices in data architecture and digital engineering.
Able to perform architecture assessments and present the findings and recommendations tailored for senior leadership audience
Requirements
Minimum of 15 years of experience in IT, including at least 5 years in a solution architecture role with significant exposure to both data and digital engineering environments.
Experience in Business Architecture including business capability modeling, business capability assessment including identification of gaps and opportunities, As-Is, Transition & Target Architecture views and recommending roadmaps/initiatives with prioritization. Good presentation (Microsoft PowerPoint) and communication skills are mandatory.
Experience in Automotive Dealership & Distribution industry (New and Used vehicles).
Strong exposure to AI and Gen AI technologies and experience with the Azure cloud platform and related technologies.
Preferred Certifications: TOGAF, CBA.
Strong understanding of software engineering principles and experience with microservices, APIs, and integration patterns.
Strong problem-solving and analytical abilities.
Excellent communication and presentation skills, with the ability to convey complex technical concepts to diverse audiences.
Strong analytical and problem-solving skills, with a focus on delivering business value through AI solutions.
Experience in architecture governance.
Ability to work collaboratively in a team-oriented environment.
Experience in Agile/Scrum environments.
Familiarity with modern DevOps practices and CI/CD pipelines.
Bachelor's degree in computer science, Information Technology, Engineering, or a related field.
Relevant technical professional certifications, such as Microsoft Certified: Azure Solutions Architect Expert, Azure AI fundamentals are highly valued.
