Data Architect

Cheesecake Labs is a software design and development company that **delivers digital products that drive business impact**.

Today, with more than **10 years of experience connected to Silicon Valley,** Cheesecake Labs has **delivered** **300+ digital products** for a diverse range of clients, from **Fortune 500** to** fast-growing startups**, that have the challenge of innovating in the world’s most competitive markets.

Among our clients, we have leading brands such as AB InBev, Singularity University, FINN and Tapcart.

Our commitment to **high-quality services** has earned us recognition as the **Top 1 Mobile Development company in Latin America** and among the top 10 globally for Mobile App and Custom Software Development by Clutch and a GPTW-certified company for 9 years in a row.

**About The Role**:
We’re looking for a strategic and hands-on **Data Architect** to help us shape modern data platforms and enable AI-powered solutions for our clients. This role is ideal for someone passionate about transforming how organizations handle, process, and use data to unlock business value through modernization and scalability.

**Engagement Details**:

- Contract Type: This is a contractor position for **temporary**, project-based engagements.

- Compensation: Payment is made in USD.

**Some activities you would do on a typical day at Cheesecake Labs**:

- Design and implement end-to-end modern data architectures for scalability, performance, and AI-readiness.

- Define data modeling strategies (conceptual, logical, and physical) across multiple systems and domains.

- Evaluate, recommend, and implement modern data stack tools (e.g., Snowflake, Databricks, dbt).

- Build and optimize data pipelines and workflows for ingestion, transformation, and analytics.

- Define and promote data governance, quality, and security standards.

- Collaborate with software engineers, AI engineers, and business stakeholders to align data strategies with business goals.

- Provide technical leadership, documentation, and best practices for scalable data infrastructure.

- Stay ahead of industry trends in data engineering, AI integration, and cloud-native data platforms.

**In order to succeed, you'll likely need the following skills**:

- Bachelor’s degree in Computer Science, Data Engineering, or related field.

- 6+ years of experience in data architecture or data engineering roles.

- Proven expertise with modern data stack technologies such as Snowflake, Databricks, dbt, or equivalent tools.

- Strong understanding of data modeling, ETL/ELT, and workflow orchestration.

- Solid knowledge of relational and non-relational databases (e.g., PostgreSQL, MongoDB, BigQuery, Redshift).

- Experience defining data strategies and architectures for enterprise or AI-driven products.

- Proficiency with Git and CI/CD practices.

- Familiarity with data governance, security, and compliance frameworks.

- Excellent communication skills in English and ability to work directly with clients in a consultative setting.

- Strong analytical thinking, problem-solving, and documentation skills.

**Nice to Have**:

- Certifications in Snowflake, Databricks, or dbt.

- Experience leading data modernization or AI integration initiatives.

- Knowledge of distributed data systems (e.g., Spark, Kafka, Delta Lake).

**Interested in the position but not sure if you should apply?**:
We value diverse backgrounds and are committed to providing equal opportunities for all, regardless of race, ethnicity, gender, gender identity, sexual orientation, disability, age, religion, or any other characteristic that makes you who you are.