Tech Lead (Data Engineer)

Description

Join a high-energy team building and evolving scalable data platforms and modern cloud-based solutions. This hands-on technical leadership role owns data architecture, engineering standards, and platform development, working with cross-functional teams to deliver reliable data solutions, support AI-driven initiatives, and continuously improve data capabilities.

Responsibilities

• Design, develop, and maintain scalable data pipelines supporting reliable and efficient data processing.
• Build and improve data storage and processing solutions, ensuring availability, consistency, and security.
• Work hands-on with cloud-based data infrastructure and optimize solutions for performance and cost efficiency.
• Develop and maintain ETL/ELT workflows and data models supporting various business needs.
• Collaborate with Data Scientists, Analysts, Software Engineers, and other technical stakeholders to enable data-driven solutions.
• Implement and promote software development best practices, including testing, monitoring, deployment, and code quality.
• Contribute to AI-driven initiatives by preparing, integrating, and enabling access to data resources.
• Troubleshoot and resolve issues across data pipelines, processing systems, and storage layers.
• Act as the technical owner of core data platform components and drive their evolution.
• Define and communicate architectural decisions, technical standards, and engineering patterns.
• Review designs and code to ensure scalability, maintainability, and alignment with best practices.
• Provide technical guidance and mentorship to Data Engineers.
• Collaborate with product and business stakeholders to translate requirements into effective technical solutions.
• Support technical planning, estimation, and delivery coordination across data engineering initiatives.

Requirements

• Proven experience as a Data Engineer with a strong hands-on engineering background.
• Experience designing and implementing data architectures and end-to-end technical solutions.
• Strong programming skills in Python or another modern programming language.
• Advanced knowledge of AWS cloud services, including S3, Glue, Lambda, DynamoDB, and Athena.
• Solid understanding of SQL and NoSQL databases, including schema design, optimization, and query performance.
• Hands-on experience building and maintaining batch and/or streaming data processing pipelines.
• Strong knowledge of ETL/ELT processes, data modeling, and storage formats.
• Understanding of software engineering best practices, including version control, CI/CD, and automated testing.
• Experience making architectural decisions and communicating technical trade-offs.
• Experience leading, mentoring, or guiding engineers in a hands-on technical role.
• Strong ownership mindset and ability to drive initiatives from concept to production.
• Experience working in Agile environments.
• Good command of English at B2+ level or higher.

Nice to have

• Experience with Airflow, Step Functions, or Prefect.
• Knowledge of Spark or Hadoop.
• Experience with data governance, security, and compliance practices.
• Experience with content-centric data, metadata, publishing workflows, or content management systems.
• Experience building shared data platforms used by multiple teams or domains.
• Knowledge of cloud cost optimization strategies.
• Engineering Manager or people leadership experience.
• Familiarity with Generative AI technologies and AI-driven data solutions.