Data Architect

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).

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

Excellent communication and presentation skills

Experience working in agile, consulting, or cross-functional environments

Perks and Benefits

Comprehensive Health & Wellness Benefits Package

Socials, Outings & Retreats

Retirement Planning

Parental Leave Program

Annual tech & travel allowance

Culture of Learning & Development

Flexible Working Hours

Work from Home Flexibility

Service Recognition Programs

Bonus Points

Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses, make sure to highlight this experience in your cover letter if you have!

The estimated compensation for this position is $120,000 to $150,000. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.

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