Lead Data Architect

The Lead Data Architect is responsible for designing, building, and maintaining efficient and scalable Application architecture within an organization. They collaborate with various stakeholders to understand technical requirements, create robust solutions, and ensure the integrity, security, and performance of the application infrastructure. This includes having the strong ability to look around the corner at emerging technologies and advise senior leadership around the strategic technical vision for the domain. The Lead Architect role is crucial for organizations aiming to leverage effectively for strategic decision-making and operational efficiency.

Accountabilities include:

Define and execute architectural strategies aligned with project objectives.

Lead and supervise architectural initiatives within assigned projects or areas.

Develop architectural designs and solutions, ensuring adherence to standards and best practices

Required Qualifications

10+ years in software engineering and architecture roles (technical lead, solution architect, enterprise architect)

Strong experience in understanding non-functional requirements (SLA, response time, real time, near real time, multi-threading) and ability to create designs that meet the non-functional requirements.

Strong experience in interoperability FHIR HL7 standards

5+ years of full stack development experience

5+ years of SQL, NoSQL, MongoDB, Redis and any relevant database experience

5+ years in cloud platforms (GCP/AWS), microservices, and API design.

Experience with DevOps tools (Kubernetes, Jenkins, Docker, Git) and Kafka.

experience in Java, Python, Spring Boot, and front-end frameworks (Angular/JavaScript).

Familiarity with AI/ML technologies, especially Generative AI and LLMs.

Proven ability to lead cross-functional teams and manage stakeholder expectations.

Preferred Qualifications:

Experience in Interoperability enterprise solutions is a plus

Experience/certification in one or more cloud platform (Salesforce, GCP, Azure & AWS) is preferred.