BrainRocket

Data Architect

Posted 8 Hours Ago

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Birkirkara

In-Office

Mid level

Software

The Role

Design and optimize scalable, secure data architectures on AWS with Snowflake as the central warehouse. Build and tune ELT/ETL pipelines (Airflow, dbt), design dimensional models and data marts, enforce governance and security, collaborate with engineers and stakeholders, and document architectures for performance and cost optimization.

Summary Generated by Built In

BrainRocket is a global company creating end-to-end tech products for clients across Fintech, iGaming, and Marketing. ‍Young, ambitious, and unstoppable, we've already taken Cyprus, Malta, Portugal, Poland, and Serbia by storm. Our BRO team consists of 1,300 bright minds creating innovative ideas and products. We don’t follow formats. We shape them. We build what works, launch it fast, and make sure it hits.

❗️Please note that this role is office based for Valencia, Spain (RAS Valencia - Servicios Profesionales de Recursos Humanos).

❗️We can provide relocation assistance if you're outside of the city or country.

We’re looking for a highly skilled Data Architect with experience in data warehousing to design and optimize our data platform. You’ll play a critical role in shaping our data ecosystem—defining architecture, ensuring scalability, and enabling advanced analytics and reporting across the organization.

Key Responsibilities

Design and implement scalable, secure, and high-performance data architectures on AWS using Snowflake as the central data warehouse;
Design and optimize ELT/ETL pipelines using tools such as Airflow and Snowflake Streams and Procedures;
Lead the design of data models (Star/Snowflake schema) and data marts for analytics and operational reporting;
Work with data engineers, BI, and other technical teams and business stakeholders to understand requirements and translate them into technical data solutions;
Establish data governance, cataloging, and lineage practices;
Ensure compliance with data security, privacy, and regulatory standards;
Drive performance tuning, cost optimization, and best practices in Snowflake and across the data stack;
Document architectural decisions and technical designs for team collaboration and future scalability.

Requirements

4+ years of experience in data engineering or architecture roles;
Strong experience with AWS cloud services such as S3, Redshift, Glue, Lambda, IAM, and CloudFormation/Terraform;
Proficiency in SQL, Python, and modern data pipeline frameworks (e.g., dbt, Airflow);
Solid understanding of data modeling, data warehousing principles, and dimensional design;
Experience with CI/CD practices and infrastructure as code in a data environment;
Excellent communication and documentation skills.

Nice to Have

Hands-on experience with Snowflake (warehousing, performance tuning, data sharing);
Experience integrating with BI tools like Power BI or Tableau;
Knowledge of data lake architecture and streaming technologies (Kafka, Kinesis);
Certifications in Snowflake or AWS (e.g., SnowPro Core, AWS Data Analytics Specialty).

✅ Why you should join us?

✔️24 days of vacation per year;

✔️Private Health Insurance;

✔️Daily Breakfasts and Friday lunches in the office;

✔️Snacks in the Office;

✔️Transport Allowance of up to 150 euro paid quarterly (public transport or taxi);

✔️Gym Subsidies for office building gym;

✔️Tennis or Paddle Training sessions reimbursement, up to 100 EUR monthly;

✔️Discount for Premium subscription for Cloudigo;

✔️Discounts at partners of the company;

✔️Annual salary reviews;

✔️Birthday gifts;