Senior Data Engineer

5+ years of experience in data engineering, data architecture, or a related field.
Proven experience building and scaling complex data infrastructures in high-growth or startup environments.
Strong proficiency with SQL/NoSQL databases, data warehousing, and data lakes.
Experience with cloud platforms (AWS, GCP, or Azure) and relevant data pipeline technologies (e.g., Apache Spark, Airflow, etc.).
Proficiency in programming languages such as Python, Java, or Scala.
Extensive knowledge of data privacy laws and industry best practices.
Excellent problem-solving skills with the capacity to transform business requirements into robust data solutions.
Strong quantitative abilities and a data-driven approach to decision-making.
Effective communication skills and experience working with diverse, international teams.
Ability to clearly articulate data strategies and technical concepts to non-technical stakeholders.
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related technical field.

Architect, design, and implement a scalable data platform that integrates multiple data streams including raw recordings, transcriptions, summaries, user behavior, revenue, and hardware telemetry.
Ensure the data pipeline meets high standards for security, performance, and usability.
Develop data models to support in-depth analysis, reporting, and predictive analytics.
Build and optimize ETL processes for efficient data processing and integration.
Implement robust data governance and privacy protocols compliant with international standards.
Regularly audit data processes to ensure secure handling and storage of sensitive information.
Work closely with software engineers, product managers, hardware teams, and international stakeholders to align data initiatives with company goals.
Facilitate effective communication and collaboration with global teams in the US, Asia, and beyond.
Research new data engineering technologies and methodologies that can be integrated into our existing infrastructure.
Develop automation tools and dashboards to enhance data accessibility and insight generation.

Advanced experience working with CDP (Customer Data Platform) is highly preferred.
Experience with machine learning pipelines, data visualization tools, and advanced analytics.
Prior background in sectors such as AI, IoT, consumer electronics, or enterprise software.
Familiarity with real-time data processing and streaming technologies.
A proactive mindset with a passion for building innovative, secure, and user-friendly data solutions.