Data Engineering Program Manager

Unclassified - Beverly Hills, CA

Full-time

Beverly Hills, CA

About the position

The Data Engineering Program Manager will play a pivotal role in overseeing and managing data engineering and analytics projects, particularly within the e-commerce and retail sectors. This position requires a proven track record in program management, with a focus on implementing data engineering solutions and analytics initiatives. The ideal candidate will have recent experience in project or program implementation related to data engineering or analytics, with a minimum of 1-2 years in this domain. The role demands proficiency in various technical tools and languages, including SQL, Python, Glue, Airflow, Fivetran, RedShift, dbt, Tableau, and ThoughtSpot, which are essential for the successful execution of data projects. In addition to technical skills, the Data Engineering Program Manager must possess strong leadership and team-building capabilities. Excellent communication and stakeholder management skills are crucial, as the role involves collaborating with various teams and ensuring alignment on project goals. A project management certification such as PMP or Agile is preferred, as it demonstrates a commitment to best practices in project management. The ability to thrive in a fast-paced and dynamic environment is essential, as the nature of data projects often requires quick adaptations and innovative solutions. Familiarity with Cloud Big Data Solutions, including EMR, AWS Redshift, Kinesis, AWS Data Streams, and Big Query, is necessary for this role. Additionally, knowledge of the Apache Suite for Big Data Architecture, including tools like Spark, Akka, Cassandra, and Kafka, as well as experience with DBT-based data modeling and transformation, will be beneficial. The candidate will also be expected to answer screening questions related to their experience with data pipelines, big data processing tools, data storage and orchestration tools, and cloud data warehouses, particularly those utilizing AWS services. Experience with data visualization tools and web analytics tools like Google Analytics will be considered a bonus, especially for candidates with a background in retail.

Responsibilities

• Oversee and manage data engineering and analytics projects in the e-commerce/retail sector.
• Implement data engineering solutions and analytics initiatives effectively.
• Collaborate with various teams to ensure alignment on project goals and deliverables.
• Utilize SQL, Python, Glue, Airflow, Fivetran, RedShift, dbt, Tableau, and ThoughtSpot in project execution.
• Lead and build teams to foster a collaborative work environment.
• Communicate effectively with stakeholders to manage expectations and project updates.
• Adapt to fast-paced and dynamic project requirements and environments.
• Utilize Cloud Big Data Solutions and Apache Suite for Big Data Architecture in project implementation.

Requirements

• Proven experience in program management of data engineering and data analytics projects.
• Recent project/program implementation experience in Data Engineering or Analytics (1-2 years).
• Proficiency in SQL, Python, Glue, Airflow, Fivetran, RedShift, dbt, Tableau, and ThoughtSpot.
• Strong leadership and team-building skills.
• Excellent communication and stakeholder management skills.
• Project management certification (PMP, Agile, or similar) is a plus.
• Ability to work effectively in a fast-paced, dynamic environment.
• Familiarity with Cloud Big Data Solutions (EMR, AWS Redshift, Kinesis, AWS Data Streams, Big Query).
• Familiarity with Apache Suite for Big Data Architecture (Spark, Akka, Cassandra, Kafka) and DBT based Data Modeling/Transformation.

Nice-to-haves

• Experience with web analytics tools like Google Analytics.
• Experience working for retailers.