G-P - Sr.EM Data Engineering
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Requirements
• Engineering Leadership • 12+ years in software or data engineering, with 4+ years leading distributed engineering teams. • Proven experience building high-performing, autonomous engineering cultures. • high-performing, autonomous engineering cultures. • Data Platform Expertise • Hands-on experience designing and operating large-scale data platforms, including streaming/event ingestion, lakehouse infrastructure, and knowledge/semi-structured data systems. • large-scale data platforms • Familiarity with Databricks, Snowflake, or similar cloud data platforms. • Databricks, Snowflake, or similar cloud data platforms • Strong understanding of distributed data processing, storage, and querying. • Reliability, Governance & Multidimensional Ownership • Proven experience in platform reliability, monitoring, incident management, and operational excellence. • platform reliability, monitoring, incident management, and operational excellence • Experience defining, enforcing, and monitoring schema governance, data quality, security, and compliance standards. • schema governance, data quality, security, and compliance standards • Ability to balance cost, performance, reliability, and operational health across complex systems. • cost, performance, reliability, and operational health • Technical Fluency • Technical Fluency • Strong programming skills in Python and SQL. • Python and SQL • Experience building tools and APIs for internal engineering teams. • tools and APIs for internal engineering teams • Ability to guide architectural decisions and design reviews at a high level. • architectural decisions and design reviews • Collaboration & Communication • Comfortable partnering with multiple engineering teams and stakeholders in a remote-first, distributed environment. • remote-first, distributed environment • Exceptional communication skills, able to translate complex technical concepts for non-technical audiences. • translate complex technical concepts for non-technical audiences • Data Platform Architecture • Streaming / Event Processing • Lakehouse Platforms (Databricks or similar) • Knowledge / Semi-structured Data Platform • Distributed Data Processing • Platform Reliability & Monitoring • Schema Governance & Validation • AWS Cloud Infrastructure • Engineering Team Leadership • CI/CD and modern engineering practices • Experience supporting AI / ML workloads • Data governance and cataloging platforms (Atlan, Alation, Collibra, etc.) • Experience with internal developer platforms or APIs for engineering teams
Responsibilities
• Lead Data Platform Teams • Build, mentor, and grow high-performing distributed engineering teams that thrive in a culture of autonomy, ownership, and operational excellence. • high-performing distributed engineering teams • Create an environment where engineers are empowered to innovate, take ownership, and make impactful decisions. • innovate, take ownership, and make impactful decisions • Own the Data Platform Infrastructure • Lead design, development, and evolution of all core data platform services: streaming/event ingestion, lakehouse, and Knowledge Platform. • Manage all organizational data flows, including: • 100K+ semi-structured Knowledge articles • Structured data from a wide range of business and third-party applications • Real-time event streams from internal services powering critical workflows • Ensure operational health, reliability, performance, and cost efficiency of the platform. • Drive data quality, schema governance, security, and compliance standards that support AI workflows, product development, and business decisions. • Provide tools, APIs, and best practices that enable product-aligned teams to build pipelines efficiently while following platform standards. • Balance multiple dimensions of responsibility: security, compliance, cost optimization, reliability, operational monitoring, quality, and governance. • Drive Platform Reliability & Operational Excellence • Own platform uptime, monitoring, and incident response, ensuring teams can rely on the platform to deliver critical products and AI features. • Implement proactive validation, monitoring, and alerting to prevent downstream issues. • Lead root cause analysis and continuous improvement across all services. • Partner with Data Engineering Teams • Collaborate with product-aligned teams to ensure platform adoption, integration, and best practices. • Provide guidance and tooling while enabling other teams to deliver features autonomously. • Contribute to Platform Architecture • Shape technical strategy for distributed systems, streaming infrastructure, lakehouse, and Knowledge Platform. • Make high-impact architectural decisions affecting all products, AI workflows, and business-critical processes. • Improve Engineering Discipline • Drive adoption of modern engineering practices: CI/CD, automated testing, documentation, and design reviews. • Foster a culture of continuous improvement, accountability, and high-quality delivery.
Benefits
• Impact: Your work powers every product, AI workflow, and business decision across the company, including mission-critical AI-based PDLC. • Impact: • Autonomy: You set technical strategy and standards for a platform that touches all data and services across the organization. • Autonomy: • all data and services across the organization • Innovation: Work on cutting-edge distributed systems, lakehouse architecture, and Knowledge Platforms at massive scale. • Innovation: • massive scale • Leadership: • autonomous, high-performing teams • Actual compensation for this position may vary and will depend on multiple factors such as relevant qualifications, experience, education, and geographic location. For Full-Time Regular Employees, this position is also eligible for additional compensation as follows: • Sales Roles: This position is eligible for a commission structure in addition to base salary. • Non-Sales Roles: This position is eligible for an annual bonus which is paid dependent on various factors, including and without limitation, individual and company performance in addition to base salary. • G-P values its employees and offers excellent benefits and perks including generous paid parental leave, flexible time off, spending accounts, medical insurance, dental insurance, vision insurance, sabbatical after 5 years and more. • Individuals residing, or applying to work, in the United States: California or Philadelphia, Pennsylvania, please review the following additional information:G-P will consider qualified applicants with arrest or conviction records in accordance with the California Fair Chance Act, Los Angeles City Fair Chance Act Ordinance, Los Angeles County Fair Chance Act Ordinance, and San Francisco Fair Chance Act Ordinance. Los Angeles applicants can review additional information regarding the Los Angeles City Fair Chance Act here: Fair Chance Initiative for Hiring Ordinance, and Philadelphia applicants can review information pertaining to Philadelphia’s Fair Criminal Record Screening Standards Ordinance here: Fair Chance Poster. Any consideration of a candidate’s background check with arrest or conviction records will include an individualized assessment based on the factors required by applicable law, including the candidate’s specific record and the duties and requirements of the specific job. • United States: California or Philadelphia • Pennsylvania, • G-P. Global Made Possible.
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