Lead Data Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Job Summary (List Format) Lead Engineer MarTech/Digital Engineering (Customer Data Management)
- Serve as technical lead for a data engineering team managing and activating customer data for Catalyst Brands.
- Lead the design and implementation of scalable data solutions for marketing analytics personalization and customer engagement.
- Collaborate cross-functionally with product owners marketing data architects DevOps and other teams to plan and deliver key initiatives.
- Drive adoption of best engineering practices focusing on system scalability performance and maintainability.
- Oversee the development integration and synchronization of customer data across both internal systems and third-party platforms.
- Guide architectural decisions conduct code/design reviews and ensure compliance and security in customer data solutions.
- Mentor and support team members fostering a culture of technical excellence innovation and collaboration.
- Utilize AWS Apache Airflow Spark Python and data warehouse technologies (e.g. Snowflake Redshift) to build robust data infrastructure.
- Implement and manage CI/CD pipelines for data applications.
- Support development of AI-powered solutions and real-time data streaming architectures (e.g. Kafka).
- Operate in an agile (Scrum) environment ensuring timely and high-quality delivery of projects.
- Maintain strong communication with stakeholders and demonstrate a sense of urgency and ownership.
- Apply extensive experience in data engineering technical leadership and marketing technology platforms.
- Bachelors degree in computer science or related field required; retail industry experience is a plus.
- Serve as technical lead for a data engineering team managing and activating customer data for Catalyst Brands.
- Lead the design and implementation of scalable data solutions for marketing analytics personalization and customer engagement.
- Collaborate cross-functionally with product owners marketing data architects DevOps and other teams to plan and deliver key initiatives.
- Drive adoption of best engineering practices focusing on system scalability performance and maintainability.
- Oversee the development integration and synchronization of customer data across both internal systems and third-party platforms.
- Guide architectural decisions conduct code/design reviews and ensure compliance and security in customer data solutions.
- Mentor and support team members fostering a culture of technical excellence innovation and collaboration.
- Utilize AWS Apache Airflow Spark Python and data warehouse technologies (e.g. Snowflake Redshift) to build robust data infrastructure.
- Implement and manage CI/CD pipelines for data applications.
- Support development of AI-powered solutions and real-time data streaming architectures (e.g. Kafka).
- Operate in an agile (Scrum) environment ensuring timely and high-quality delivery of projects.
- Maintain strong communication with stakeholders and demonstrate a sense of urgency and ownership.
- Apply extensive experience in data engineering technical leadership and marketing technology platforms.
- Bachelors degree in computer science or related field required; retail industry experience is a plus.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
