Data Architect

Are you one of the top Data Architects? Were you an early adopter of cloud infrastructure and passionate about the cutting-edge Cloud and Big Data technologies and trends? If the answer is "yes", you should join us as a Data Architect at CodeValue.

Key Responsibilities:

Design and implement data architectures for AI and LLM-based products, enabling data-driven decision-making.
Develop and maintain data pipelines using cloud-based technologies to collect, transform, and integrate data from various sources.
Build and optimize data warehouses and data marts supporting data analysis and reporting.
Establish and enforce data quality standards, policies, and procedures ensuring accuracy, completeness, and integrity.
Monitor and troubleshoot data issues and performance problems, providing effective solutions.
Research and evaluate new data technologies and trends, offering recommendations for improvement.
Document and communicate data architectures, flows, models, and dictionaries.
Provide technical guidance and mentorship to junior data team members.

Requirements:

Minimum 5 years of experience in data architecture or data engineering.
Experience as a Software Architect is an advantage.
Proficient in Python, SQL, and one or more programming languages (Java, Scala, etc.).
Experience with cloud-based data platforms and services (AWS, Azure, GCP, etc.).
Familiarity with data modeling tools and techniques (ERD, UML, etc.).
Proficiency in data pipeline tools and frameworks (Spark, Airflow, Kafka, etc.).
Knowledge of data warehouse and data mart design and development (Snowflake, Redshift, BigQuery, etc.).
Understanding of AI and LLM concepts and applications.
Strong analytical and problem-solving skills.
Excellent communication and collaboration skills.

Join CodeValue as a Data Architect and contribute to designing and maintaining data solutions for cutting-edge AI and LLM-based products. Apply now and be part of our dynamic team driving data-driven innovation!