Responsibilities
- Lead and manage a team of talented data engineers responsible for designing, building, and maintaining our data infrastructure platform.
- Develop and execute comprehensive data strategy aligned with business goals and objectives collaborating with technical leads and product managers on prioritization and roadmap plans.
- Establish and enforce data governance policies and best practices.
- Implement and maintain processes to ensure data quality and integrity.
- Conduct data discovery activities, performing root cause analysis and making recommendations for the remediation of data quality issues.
- Understand business and technical requirements, provision of subject matter expertise and implementation of data engineering techniques
- Establish and maintain performance monitoring, alerting, and troubleshooting mechanisms to ensure the reliability and availability of our data infrastructure platform.
- Work cross-functionally to prioritize work items, track progress, and deliver commitments.
- Collaborate extensively with data science and analytics teams to design data platform(s) that support their needs and deliverables.
- Directly contribute to the entire development cycle, from conception and design through release, reporting and analytics.
Requirements
- Degree in computer science or related field
- 5+ years of leadership/experience managing highly technical teams.
- Strong technical background in data engineering, data pipelines, ETL, data modeling, and data architecture
- Required experience with Snowflake, dbt, AWS
- Demonstrated experience in high quality data handling - tracking lineage, proactive monitoring, data governance, and improving discoverability of data.
- Demonstrated experience in project management and tools such as Jira.
- Excellent interpersonal and communication skills with the ability to collaborate with diverse stakeholders.
- Strong analytical and problem-solving abilities, with a focus on data-driven decision-making.
- Proven track record delivering high visibility projects on time and budget
Work Arrangement
Hybrid — San Diego, CA
Team
Structure: Manages the sprint cycle and resource allocation along with day-to-day people management. Works alongside the data engineering pod focused on production system integration.
Additional Information
- 3 days/week in office, 2 days/week remote
- Being authorized to work in the U.S. is a precondition of employment.
- FairSquare does not consider candidates requiring 1099 or C2C.
- Physical Demands: Working in a temperature-controlled office environment
- Physical Demands: Sitting at a desk for long periods of time while viewing multiple computer screen monitors
- Physical Demands: Potential lifting of boxes around 5-10lbs
