Seargin is a dynamic multinational tech company operating in 50 countries. At Seargin, we drive innovation and create projects that shape the future and greatly enhance the quality of life. You will find our solutions in the space industry, supporting scientists in the development of cancer drugs, and implementing innovative technological solutions for industrial clients worldwide. These are just some of the areas in which we operate.
Technical Leader
Remote
UE
B2B
Senior
Lead the technical architecture and design of data products and data pipeline solutions on the AWS platform, ensuring they meet scalability, security, and performance requirements
Provide technical guidance and mentorship to a team of data engineers and data scientists, fostering a collaborative and innovative work environment
Collaborate with cross-functional teams, including product managers and business stakeholders, to align technical solutions with business objectives and requirements
Create comprehensive technical documentation outlining system architecture, design decisions, and processes to ensure clarity and knowledge transfer
Drive the development and execution of the technical roadmap for data product development on AWS, leveraging industry best practices and standards
Oversee quality assurance processes, including code reviews, testing, and documentation, to ensure the robustness and reliability of data products
Communicate complex technical concepts and decisions effectively to non-technical stakeholders, enhancing their understanding of data products' value and impact
Analyze and optimize data pipelines for performance, reliability, and cost-effectiveness, ensuring efficient data processing and storage
Evaluate new technologies and tools that can enhance the capabilities of data products and data pipeline solutions, making recommendations for implementation
Identify potential technical risks associated with data product development and deployment, proposing mitigation strategies to ensure project success
Implement Agile practices within the team to improve project delivery timelines and enhance collaboration among team members
Establish performance monitoring and logging mechanisms to track the efficiency and health of data products and pipelines post-deployment
Foster a culture of continuous improvement by encouraging innovation and the adoption of new methodologies and technologies in data product development
Employment based on a B2B contract
Opportunity to work in a stable, dynamically developing international company
Chance to participate in interesting projects and work with the latest information technologies
Attractive remuneration rates offered
Involvement in the most prestigious international projects
Access to Multisport benefits and private healthcare services
Proven experience in technical leadership roles, specifically in building data products and data pipeline solutions on the AWS platform
In-depth knowledge of AWS services such as Lambda, Fargate, EC2, S3, AWS Glue, Athena, Step Functions, Event Bridge, and SQS
Strong understanding of data architecture, data modeling, and ETL processes, particularly in the context of AWS-based solutions and Snowflake
Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams and levels of the organization
Experience in optimizing and fine-tuning data pipelines for performance, reliability, and scalability
Ability to troubleshoot and resolve data-related issues, ensuring the reliability of the data infrastructure
Knowledge of SQL for data querying and manipulation, with experience in writing complex queries
Ability to work with both structured and unstructured data sources, ensuring effective data integration and processing
Strong problem-solving and troubleshooting skills to address technical challenges efficiently
Proficiency in Python for developing data processing scripts and applications
Experience with DevOps tools, particularly GitLab CI/CD and AWS CDK, for managing deployment pipelines and infrastructure as code
Experience with Snowflake, including data warehousing, dbt (data build tool), and vault configurations
Ability to work collaboratively with cross-functional teams, including data engineers, scientists, and product managers
Familiarity with Agile methodologies and practices to enhance project delivery and team collaboration
Experience in setting up performance monitoring and logging mechanisms for data products and pipelines
Ability to create and maintain comprehensive technical documentation for data architecture and processes
Familiarity with Liquibase for database version control and migration managemen
Relevant cloud certifications (e.g., AWS Certified Solutions Architect, AWS Certified Data Analytics) demonstrating expertise in AWS services and data solutions
