Sr.EM Data Engineering
- G P
- Remote India
Job Description
About Us
Our leading SaaS-based Global Employment Platform™ enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we’re dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere.
Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated.
The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work.
At G-P, we assist organizations in building exceptional global teams in days, not months—streamlining the hiring, onboarding, and management process to unlock growth potential for all.
About the Role
Lead the org-wide data platform that powers every product and AI workflow across the company — from our award-winning AI-powered Global HR & Compliance Product to the Agentic AI Platform.
This platform is the foundation of every product, feature, and AI-driven decision: it ingests, processes, and serves data from hundreds of internal services, structured business and third-party applications, and 100K+ semi-structured Knowledge articles.
You will have full ownership and technical leadership over this mission-critical platform — shaping architecture, standards, and engineering practices — while enabling distributed teams to deliver reliable, high-quality, and secure data services at scale.
What You Will Do
Lead Data Platform Teams
- Build, mentor, and grow high-performing distributed engineering teams that thrive in a culture of autonomy, ownership, and operational excellence.
- Create an environment where engineers are empowered to 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.
What We Are Looking For
Engineering Leadership
- 12+ years in software or data engineering, with 4+ years leading distributed engineering teams.
- Proven experience building 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.
- Familiarity with 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.
- Experience defining, enforcing, and monitoring schema governance, data quality, security, and compliance standards.
- Ability to balance cost, performance, reliability, and operational health across complex systems.
Technical Fluency
- Strong programming skills in Python and SQL.
- Experience building tools and APIs for internal engineering teams.
- Ability to guide architectural decisions and design reviews at a high level.
Collaboration & Communication
- Comfortable partnering with multiple engineering teams and stakeholders in a remote-first, distributed environment.
- Exceptional communication skills, able to translate complex technical concepts for non-technical audiences.
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Must-Have Skills
- 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
- Python & SQL
- Engineering Team Leadership
- CI/CD and modern engineering practices
Nice to Have
- Experience supporting AI / ML workloads
- Data governance and cataloging platforms (Atlan, Alation, Collibra, etc.)
- Experience with internal developer platforms or APIs for engineering teams
Why You’ll Love This Role
- Impact: Your work powers every product, AI workflow, and business decision across the company, including mission-critical AI-based PDLC.
- Autonomy: You set technical strategy and standards for a platform that touches all data and services across the organization.
- Innovation: Work on cutting-edge distributed systems, lakehouse architecture, and Knowledge Platforms at massive scale.
G-P. Global Made Possible.
G-P is a proud Equal Opportunity Employer, and we are committed to building and maintaining a diverse, equitable and inclusive culture that celebrates authenticity. We prohibit discrimination and harassment against employees or applicants on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other legally protected status.
G-P also is committed to providing reasonable accommodations to individuals with disabilities. Individuals with disabilities are encouraged to apply for these positions. If you need an accommodation due to a disability during the interview process, please contact us at [email protected].
