Data Architect
External
Konradgroup · Costa RicaPrepare for this interview
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About the role
Konrad is a next-generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard-working people who are lifelong learners. As a Data Architect, you are a technically strong and curious problem-solver who applies expertise in data science, enterprise data architecture, system design, and data governance best practices to solve complex business challenges. You design and oversee the development of scalable, secure, and reliable data solutions, and can clearly communicate the value of your designs to both technical and business audiences. You will collaborate closely with data engineers, analysts, product managers, and clients to design and deliver data & AI solutions that drive measurable impact. You are comfortable working with large databases, designing enterprise data systems, and contributing to AI-enabled products in strict regulatory environments. As a senior contributor on the team, you bring a strong foundation in data science, system design, and modern data tooling.
Responsibilities
- Partner with clients and internal teams to identify opportunities where data science and machine learning can drive business value
- Explore, analyze, and prepare large datasets for modeling and experimentation
- Design, build, and validate statistical, predictive, and machine learning models
- Develop and deploy scalable data science and AI solutions in collaboration with engineering teams
- Evaluate model performance and continuously iterate to improve accuracy (including A/B testing and causal analysis)
- Lead data modernization & migration projects at large enterprises
- Communicate findings, methodologies, and recommendations clearly to technical and non-technical stakeholders
- Stay current with emerging data science, AI, and machine learning techniques and tools
Requirements
- Minimum 5+ years of experience in a data science, machine learning, or solution architect roles.
- Strong proficiency in Python (or similar) and experience with data science libraries and frameworks.
- Solid foundation in statistics, probability, and machine learning techniques.
- Experience designing and managing the build-out of cloud-based data platforms and data warehouses (e.g., Snowflake, Databricks BigQuery, Redshift).
- Familiarity with model deployment, monitoring, and lifecycle management.
- Experience with containerization (e.g., Docker) and building production APIs (e.g., FastAPI) and applications (e.g., Django or Flask).
- Excellent communication skills in english.
- Experience collaborating with data engineering teams on production-grade solutions.
- Strong problem-solving skills and the ability to frame ambiguous business problems into technology solutions and gaining stakeholder buy-in.
- Experience working in agile, consulting, or cross-functional environments.
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