Lead the development of enterprise-scale data solutions and act as a technical expert to empower data engineers, data scientists, and partners
Job Summary
Lead the development of enterprise-scale data solutions and act as a technical expert to empower data engineers, data scientists, and partners.
Foster an engineering culture of excellence, empowering engineers to deliver reliable, flexible solutions at scale while building and nurturing a top-performing team.
Drive the technical and strategic vision for embedded pods and foundational enablers to meet current and future needs for scale and interoperability.
Matching Summary
Lead the development of enterprise-scale data solutions and act as a technical expert to empower data engineers, data scientists, and partners.
Salary
$193,800 - $285,000 USD
Skills & Requirements
Must-have
People leadership and team building
Technical and strategic vision
Data architecture and development process
Cross-functional collaboration
Reliability and quality focus
SQL and Python coding skills
Nice-to-have
Thought leadership in data
Coaching and guiding teams
Enhancing developer experience
Breaking down large systems
Planning for long-term strategy
Key Requirements
10+ years of data engineering experience
2+ years of hands-on management experience
Experience hiring and growing teams
Experience with performance management, coaching, mentoring
Experience with Snowflake/Redshift, AWS/GCP, Hadoop/Spark/Big data
Experience with large scale batch/real time ETL orchestration
Experience with big data compute engines (Spark, Flink)
Familiarity with Datalake solutions (Delta Lake, Apache Iceberg)