Senior Data Engineer (FedRAMP)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer (FedRAMP) based in United States.

This remote senior-level engineering role offers the opportunity to design and scale mission-critical data platforms supporting advanced identity security solutions.
You will architect and lead the development of high-performance data systems handling billions of relationships across complex environments.
The position combines hands-on engineering, technical leadership, and cross-functional collaboration to drive innovation and operational excellence.
You will influence data architecture strategies, improve reliability, and enable faster, smarter decision-making through trusted data infrastructure.
Working across engineering, product, security, and analytics teams, you will shape scalable solutions in a cloud-native environment.
This role is ideal for an experienced data engineer passionate about distributed systems, AI-assisted development, and building impactful enterprise platforms.

The Senior Data Engineer will own the architecture, implementation, and evolution of large-scale data systems supporting observability, analytics, and identity intelligence capabilities. This role requires strong technical leadership, a focus on reliability, and the ability to drive complex initiatives across multiple teams.

• Lead the design and development of scalable ETL/ELT pipelines and data services for enterprise-grade data platforms.
• Own technical strategy for key data domains, aligning architecture decisions and long-term roadmaps with partner teams.
• Serve as a technical lead for cross-functional initiatives, ensuring successful delivery of high-impact engineering projects.
• Establish and maintain standards for data quality, governance, lineage, observability, and operational readiness.
• Optimize distributed data processing workloads, storage strategies, and query performance to improve scalability and cost efficiency.
• Design and improve graph-oriented data models and access patterns to support fast exploration of complex relationships.
• Collaborate with product and engineering teams to deliver low-latency user experiences powered by reliable data infrastructure.
• Conduct architecture reviews, provide technical guidance, and raise engineering standards through mentorship and feedback.
• Apply AI-assisted development practices to accelerate engineering workflows while maintaining security, quality, and governance standards.
• Partner with infrastructure, security, analytics, and product teams to develop practical and scalable solutions.
• Participate in on-call responsibilities and lead incident reviews to strengthen platform resilience.

Requirements:

The ideal candidate is a highly experienced data engineering professional with a strong background in SaaS-scale platforms, distributed systems, and cloud-native architectures. Candidates should demonstrate technical leadership, excellent communication skills, and the ability to deliver complex solutions in regulated environments.

• 5+ years of experience building production software, with significant experience in data engineering at SaaS scale.
• 4+ years of experience owning architecture for commercial data platforms or major data subsystems.
• U.S. citizenship required due to FedRAMP-related responsibilities.
• Expert knowledge of Snowflake data modeling, architecture, and query optimization.
• Strong hands-on experience with dbt, Airflow, and distributed processing systems supporting batch and streaming workloads.
• Experience with Cassandra and familiarity with graph-based data systems.
• Proven experience building reliable systems capable of managing billions of relationships with predictable performance.
• Strong understanding of cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience leading complex technical projects across multiple teams and organizational boundaries.
• Professional experience using AI-assisted software development tools such as GitHub Copilot, Cursor, or Claude Code within engineering workflows.
• Ability to improve engineering processes through better planning, execution, reliability practices, and technical standards.
• Excellent communication skills with the ability to explain technical tradeoffs to engineers, product leaders, and executives.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferred qualifications:

• Experience operating data platforms with service-level objectives and modern observability tools such as Grafana, Prometheus, or Datadog.
• Experience measuring and improving data job performance, quality, and infrastructure costs.
• Familiarity with identity management, security, compliance, or privacy-sensitive technology domains.
• Experience with Kubernetes, infrastructure-as-code, and continuous delivery practices.
• Knowledge of data lake architectures and Spark/Flink performance optimization.

Benefits:

• Competitive base salary range of approximately $112,500 - $189,626 annually, depending on experience, qualifications, location, and market factors.
• Potential eligibility for annual bonus programs and equity participation.
• Medical, dental, and vision insurance coverage.
• Short-term and long-term disability insurance.
• Life insurance and Accidental Death & Dismemberment (AD&D) coverage.
• Supplemental life insurance options for employees and eligible family members.
• Flexible spending accounts, including healthcare and dependent care options.
• Health Savings Account (HSA) with employer contributions.
• 401(k) savings plan with company matching.
• Flexible vacation policy and paid holidays.
• Paid sick leave and parental leave benefits.
• Employee Assistance Program and care counseling resources.
• Voluntary benefits including legal assistance, critical illness, accident, hospital indemnity, and pet insurance options.
• Fully remote work arrangement within the United States.