Position: Data Architect
Company: Trinetix
Category: Lead
Experience required: 3y
English level: upper

We are looking for an experienced Data Architect to be a part of our Trinetix team for digital transformation projects. This is an exciting opportunity to work with cutting-edge AWS technologies and shape the data architecture of our Data Platform. As a Data Architect, you will play a critical role in designing, implementing, and optimizing data solutions using AWS services.

Our teams consist of: Technical Delivery Manager, Business Systems Analyst, Application Architect, Developers (dedicated FE and BE), QA Engineers and Designers (up to 20 people per team).
 
**Responsibilities:**
Collaborate with stakeholders to understand business requirements and translate them into effective data architecture solutions.
Design and develop scalable data models, data pipelines, and data integration processes using AWS Glue, PySpark, Athena, Redshift, Aurora, Step Functions, Lambdas, and other relevant AWS services
Implement best practices for data governance, data quality, and data security.
Optimize data storage, data access, and data processing to ensure high performance and cost efficiency.
Collaborate with cross-functional teams, including data engineers, data scientists, and software developers, to integrate data solutions into the overall technology landscape.
Stay up to date with the latest trends and advancements in AWS services and provide recommendations for their adoption.

**Requirements:**
Extensive experience as a Data Architect(3+ years), preferably working with AWS technologies and services.
Strong expertise in PySpark and familiarity with AWS Glue, Athena, Redshift, Aurora, Step Functions, Lambdas, and other relevant AWS services.
Proven track record of designing and implementing scalable data architectures and data integration solutions.
In-depth knowledge of data modeling concepts and techniques.
Proficiency in SQL and data query optimization.
Familiarity with data governance principles and practices.
Excellent problem-solving and analytical skills.
Strong communication and collaboration abilities.
Advanced level of English.

**Will be a plus:**
AWS certifications related to data and analytics.
Experience with other AWS services such as S3, EMR, and DynamoDB.
Knowledge of big data technologies like Hadoop and Spark.
Understanding of DevOps principles and CI/CD pipelines.

**What we offer:**
Paid training programs and English language courses;
Medical insurance and sports program compensation;
PE and legal support;
Work from home with office essentials and support;
Office availability upon request.