Data/ Ml Solution Architect

**Data/ ML Solution Architect**:
Medellín, Antioquia, Bogotá, Capital District, Cali, Valle del Cauca

**About project**

Position Summary:

- As a Solutions Architect, you will be responsible for designing, planning, and implementing scalable, cloud-based, and on-premise data and ML architectures and backend services.
- You will collaborate with internal teams, clients, and stakeholders to build state-of-the-art solutions across Big Data, machine learning, and real-time analytics environments.
- Your role will focus on delivering high-quality, innovative solutions while adhering to best practices in architecture, security, and compliance.
- As a Solutions Architect, you will provide strategic technical leadership on complex, high-impact customer engagements. You will design advanced technical solutions, manage technical risks, and collaborate with cross-functional teams to ensure successful solution delivery.
- Your role will involve driving innovation, optimizing customer KPIs, and mentoring other architects and technical leaders.

**Responsibilities**:

- Lead the design and implementation of data and AI/ML architecture solutions across cloud and on-premise platforms.
- Lead complex customer engagements, providing strategic technical vision and aligning solutions with customer business goals.
- Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor.
- Lead technical workshops, training sessions, and presentations.
- Define and execute data lifecycle processes: ingestion, storage, processing, and visualization.
- Collaborate with business units and stakeholders to align solutions with business goals.
- Ensure solutions adhere to security, compliance, and architecture frameworks (e.g., AWS Well-Architected, GCP Architecture Framework).
- Lead cross-functional teams, providing mentorship and guidance to technical talent.
- Design and execute proofs of concept for emerging technologies like Generative AI, Machine Learning
- Drive backend/ML services best practices for scalable and maintainable solutions.
- Oversee data governance and data quality processes across platforms.
- Stay updated with the latest technology trends and continuously improve the architecture strategy.

**Requirements**:

- 7+ years of experience in solutions architecture, with a strong focus on Big Data and cloud platforms (AWS, GCP, Azure).
- Excellent communication and problem-solving skills, with the ability to work across multiple projects and the ability to articulate complex technical concepts to both technical and non-technical audiences.
- Technical sales or pre-sales experience with cloud and big data, and ML solutions.
- Strong leadership and team collaboration abilities.
- Strategic thinking with a focus on delivering measurable business value.
- Proven ability to build strong relationships with customers and act as a trusted advisor.
- Proficiency in data engineering and analytics, designing data pipelines and architectures using AWS, GCP, or Azure data stack.
- Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions.
- Proven experience with data lakes, data warehouses, and real-time data analytics.
- Proven experience with microservice architecture and containerized deployment options.
- Proficiency in any of backend backend-related languages: TS, Java, Python, and others.
- Solid understanding of machine learning and MLOps tools (PyTorch, SageMaker, MLFlow).
- Demonstrated ability to lead and mentor cross-functional teams.
- Familiarity with agile methodologies.

Nice to Have:

- Experience in Generative AI implementations.
- Proficiency with graph databases (Neo4j, AWS Neptune).
- Knowledge of data mesh principles and data contracts.
- Operational knowledge of infrastructure deployment tools like AWS CDK, CloudFormation, and Terraform.