Pax8 is looking to improve its data engineering initiatives to enable downstream enterprise software functionality, enhance data consumers' ability to gain insights, and maximize the value derived from data across the organization.
Requirements
- Experience with: big data warehouse design, big data databases (Redshift, BigQuery, Hive, Presto, etc.), orchestration frameworks (Airflow, Glue, etc.), data streaming (Kafka), and working knowledge of modern data engineering principles and practices
- Experience building data infrastructure, services, processes, and advocating for their uses
- Strong understanding of data consumer pain points across departments and disciplines
- Experience with Agile/Scrum Software Development along with project management tools (Trello, Jira, Rally or equivalent) in a technical software development environment
- Experience prioritizing product backlogs and working closely with software engineers to write and refine stories for sprint execution
- In-depth knowledge of software delivery process, developer analytics best practice and tools, and basic software and data architecture principles
- Expertise in using AI tools for product management and data engineering to improve skills, enhance work products, and drive outcomes
Responsibilities
- Lead the strategy and roadmap for data engineering. This area enhances growth by enabling data consumers to gain insights from various data sources, visualizations, and reporting.
- Ensure tools like ServiceNow, Salesforce, and Marketo use enterprise data effectively.
- Improve time-to-value from new data sources by upgrading data warehousing, implementing governance best practices, and developing tools, processes, and documentation.
- Apply design and product thinking to the data consumer experience and data engineering capabilities.
- Collaborate deeply with business and engineering stakeholders across the org to plan the right product improvements at the right time to meet a demonstrated market or business need.
- Own and manage the data engineering product backlog, prioritizing features, enhancements, and operational improvements that align with strategic objectives.
- Coordinate tactical execution, manage timelines, track deliverables, and ensure effective communication across data engineering and delivery teams.
Other
- At least three (3) years of product management experience in a technical domain, preferably in platform engineering, infrastructure, developer tooling, or an equivalent role
- Scrupulous about value for the business; ability to understand and focus on what is most likely to bring ROI
- Exceptional project management and interpersonal skills with experience managing multiple work streams across a variety of stakeholders
- Ability to work with considerable autonomy and minimal guidance, with a bias to action
- Proven ability to collaborate and problem-solve with diverse people in various parts of the organization
