Data Architect
At a glance
Mid-level Data Architecture & Governance role at konradgroup. Costa Rica · full-time.
Pay not stated Data Architect salary
dataroles summary, based on the employer's posting.
What you'll do
- Find client and internal use cases where machine learning or data science can create business value
- Prepare large datasets for experiments, then build and test statistical, predictive and machine learning models
- Work with engineering teams to launch scalable data and AI solutions, then improve them through performance checks and experiments
- Lead enterprise data upgrades and migrations, sharing methods and recommendations with technical and business audiences
What you bring
- At least five years in data science, machine learning or solution architecture
- Strong Python or similar skills, with working knowledge of statistics, probability and machine learning methods
- Experience shaping cloud data platforms and warehouses, plus deploying, monitoring and maintaining models
- English communication skills and experience delivering production solutions with data engineering teams
Who this fits
This role suits a hands-on data professional who can turn unclear business needs into technical solutions and earn stakeholder support. You’ll work across client and internal teams, and the role offers work-from-home flexibility and flexible hours.
From the employer
Who We Are
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.
About The Role
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.
What You’ll Do
- 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
Qualifications
- 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.
Perks and Benefits
- Comprehensive Health & Wellness Benefits Package.
- Socials, Outings & Retreats.
- Annual tech & travel allowance.
- Culture of Learning & Development.
- Flexible Working Hours.
- Work from Home Flexibility.
- Service Recognition Programs.
Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.
While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.
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