As a Senior Data Engineer at G-P, you will serve as the architectural backbone of the AI-native Data Platform, designing self-service frameworks and high-performance engines that power every product and AI workflow across the company. You will bridge strategic leadership and technical execution, ensuring the Databricks Lakehouse scales efficiently to handle hundreds of services while maintaining world-class data reliability and cost-efficiency. Your work will involve platform engineering, performance optimization, data governance, and mentoring engineers to accelerate the engineering lifecycle and improve code quality.
Responsibilities
- Lead the design and implementation of internal SDKs and self-service frameworks that enable distributed engineering teams to ingest and transform data autonomously.
- Shift from 'pipeline building' to 'platform engineering,' creating reusable patterns for batch and real-time event processing.
- Take full ownership of the cost-effectiveness of the Databricks ecosystem, including tuning Spark execution plans, optimizing shuffle partitions, and implementing auto-scaling strategies to manage DBU consumption.
- Ensure the platform remains performant as volume grows, managing trade-offs between latency, throughput, and cloud spend.
- Implement Schema-on-Write validation and Data Contracts to ensure data from hundreds of internal services meets strict quality standards before hitting the Bronze layer.
- Partner with the Data Architect & Data Stewards to enforce data privacy (PII), security standards, and metadata lineage across the global ecosystem.
- Champion the use of AI-assisted development tools (e.g., GitHub Copilot, Cursor) to accelerate the engineering lifecycle and improve code quality.
- Mentor engineers on distributed computing best practices, conducting deep-dive code reviews that focus on scalability and maintainability.
Requirements
- 5+ years of experience building and operating production-grade data systems at massive scale.
- Deep, hands-on mastery of the Databricks/Spark ecosystem (Delta Lake, DLT, Spark UI debugging, and performance tuning).
- Proven track record of building Real-time/Streaming architectures (Spark Structured Streaming, Kafka, or Kinesis) as a core production requirement.
- Experience managing and optimizing cloud costs in a high-growth environment.
- Experience building APIs, tools, or frameworks used by other internal engineering teams.
Benefits
- Generous paid parental leave.
- Flexible time off.
- Spending accounts.
- Medical insurance.
- Dental insurance.
- Vision insurance.
- Sabbatical after 5 years.
Additional details
- 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.
- 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.
- Our ranges are established using objective market benchmarking data for this level of work. Final placement within the range is determined by gender-neutral criteria, including the candidate's relevant skills, experience, and specific qualifications for the role.
- 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: eligible for a commission structure in addition to base salary. Non-Sales Roles: 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 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.
- 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 .
- Originally posted on Himalayas.
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