Lead and manage a team driving data engineering projects across Notifications, Messaging, Hosting Services, and the Partner Ecosystem, ensuring high-quality data generation, ingestion, processing, and reporting capabilities.
Collaborate closely with the ML team to design and deliver robust data foundations (batch, intraday, streaming) that enable new product features, power AI/ML models, and fulfill real-time data needs.
Drive the development of key metrics across the C&C org, partnering with Analytics and Product to define, build, and govern the metrics that measure our business impact and product health.
Collaborate with Product, Analytics, ML, and Engineering to define and prioritize impactful data initiatives, identifying pain points and ensuring seamless data integration and high-quality, trusted data.
Streamline team practices, ensuring effective prioritization, execution, and clear communication of roadmap commitments.
Advocate for best engineering practices, including testing, monitoring, and continuous improvement.
Assess system health and data quality, identifying key areas for investment and scalability within the C&C data ecosystem.
Mentor and develop engineers, fostering an inclusive and high-performing team culture.
Align team priorities with organizational goals, partnering with senior leadership to drive execution and connect the dots between team efforts and broader company initiatives.

Requirements

9+ years of industry experience, with a focus on data engineering and analytics engineering.
4+ years of experience in managing and leading data engineering teams, with a proven ability to mentor and grow engineering talent.
Proficiency in data processing technologies (batch and streaming), SQL, and ETL schedulers (e.g., Airflow, Dagster).
Demonstrated ability to drive complex, cross-team data engineering projects, with specific experience enabling Machine Learning features and collaborating with ML/AI teams.
Experience in designing, building, and governing key business metrics across a diverse product portfolio.
Strong technical and strategic vision, with the ability to translate broad objectives into actionable engineering plans.
Strong product and business sense; can spot potential data issues, provide alternative solutions, and collaborate effectively with product, engineering, and analytics partners.
Excellent communication skills, with the ability to effectively interact with technical and non-technical stakeholders.
A passion for innovation and the ability to foster a culture of learning and continuous improvement.

Benefits

Our job titles may span more than one career level.
The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands.
This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringanalytics engineeringdata processing technologiesSQLETL schedulersAirflowDagsterMachine Learningdata metricsdata integration

Soft Skills

leadershipmentoringcommunicationcollaborationstrategic visionproblem-solvinginnovationteam cultureprioritizationexecution