Senior Data Architect
Amazon RDS, Amazon Timestream, AWS, AWS Glue, AWS Lambda, Python, TypeScript
About the role:
We’re seeking a forward-thinking Senior Data Architect to join us and lead the way in designing and optimizing our data infrastructure. In this role, you will be at the forefront of crafting scalable and efficient data architectures, leveraging cutting-edge technologies to ensure our systems are robust and future-proof. You’ll have the opportunity to shape our data strategy, drive the adoption of best practices, and collaborate with a talented team to deliver impactful solutions that support our business goals.
About the project:
The client is a prominent player in the pet tech industry known for their innovative solutions, sophisticated pet accessories, and pet robots. Their dedication to solving problems and providing intelligent insights for pet owners is evident in their range of products. From self-cleaning litter boxes and automatic feeders to stylish cat trees, the company’s offerings aim to enhance the lives of both pets and their owners.
Who are we looking for?
Requirements
- Bachelor’s degree in Computer Science, Systems Engineering, Mathematics, or a related field;
- Over 5 years of experience as Data Architect;
- Proven experience in architecting data solutions on AWS;
- Advanced knowledge of AWS Glue, AWS Lambda, Amazon RDS, and Amazon Timestream;
- Experience in programming with Python and TypeScript;
- Ability to design and optimize complex data architectures;
- Experience with continuous integration/continuous delivery (CI/CD) tools and practices;
- Knowledge of data modeling techniques and database design;
- Strong problem-solving skills and ability to work in a dynamic environment;
- Excellent communication skills and ability to collaborate with various technical teams.
- Advanced English skills and ability to communicate clearly and effectively.
Responsibilities
- Develop and implement scalable and robust data architectures to meet business needs;
- Design and maintain robust and scalable data architectures using AWS services;
- Implement and manage ETL (Extract, Transform, Load) data pipelines with AWS Glue;
- Develop and optimize code in Python and TypeScript for data manipulation and analysis;
- Create and maintain serverless functions using AWS Lambda to automate data processes;
- Manage relational databases using Amazon RDS, ensuring high availability and performance;
- Design and configure temporal and real-time data solutions with Amazon Timestream;
- Collaborate with development teams to integrate data solutions with existing applications and systems.
What we offer
Work:
- Flexible working hours;
- Direct communication with C-levels;
- Collaborative, friendly team environment;
- Hybrid work;
- Company equipment provision;
Life:
- Maternity and paternity leaves;
- Proxet Culture Club events;
- Company social events;
- Annual corporate parties;
Health:
- Comprehensive medical insurance and sports benefits;
- Mental health program with private consultations;
- Live webinar with therapists;
- Paid sick leaves;
Education:
- Allowances for professional education;
- English language courses with native speakers;
- Internal knowledge-sharing sessions.
About Proxet
Proxet is a professional software development firm trusted by clients from around the world. With our expertise in AI and machine learning, we help businesses reimagine their possibilities and transform ideas into tangible digital solutions. By providing core services with an emphasis on data practices, we shape the future, one step at a time.
If you’d like to join our Proxet Nation and work closely with high-level professionals and our engineers, fill in the form!
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