Capitolis is looking for a Manager, Global Rewards to join our rapidly growing team to design and manage benefits, compensation, policies, and programs to engage and motivate world class talent. This is a unique opportunity and point in time to set up the future infrastructure for how Capitolis attracts, retains, and supports employees. The Manager, Rewards will utilize their depth of knowledge and experience to define and shape our competitive global cash and equity programs as well as benefits from strategy through implementation. They will report to the Chief People and Culture Officer and be a leader within our Global People and Culture team, located at our global HQ near Bryant Park in New York City. This opportunity provides a path to learn new areas, add immediate value, and grow into more senior roles over time. This role is 5-days a week in-office.

Responsibilities

• Partner with managers and HR Business Partners on compensation framework, programs, and decisions
• Conduct compensation benchmarking and support annual performance review cycles, ensuring pay decisions are data-driven, aligned with market trends and our compensation philosophy
• Build and maintain analytical models and spreadsheets to surface insights that inform rewards strategy and executive decision-making
• Translate data and analysis into clear recommendations for leadership and key stakeholders
• Manage day-to-day benefits administration - serving as a knowledgeable resource for employees on how benefit programs work and connecting them to the right plans, vendors, and processes
• Educate new hires on benefit programs/processes and compensation philosophy
• Administer global benefits through PEO (US) and brokers (UK, IL), in line with laws and regulations
• Maintain the HRIS system, including pulling reports, conducting data analysis, and ensuring data accuracy across all HR systems

Requirements

• 5-7 years of relevant work experience, preferably with compensation consulting/analytics
• Knowledge of global compensation practices (base salary, variable incentives, equity grants and refresh strategy, sales incentive plans)
• Strong analytical skills with advanced Excel proficiency - able to build sophisticated spreadsheets, analyze complex data sets, and translate findings into actionable insights
• Strong process and project management skills with the ability to work on multiple projects simultaneously and ensure accurate delivery of work products
• Excellent attention to detail and ability to synthesize information to drive decisions
• Broad knowledge of Human Resources principles, policies, and benefit programs in the US (UK and Israel a plus)
• Experience with benefits administration is a plus
• Strong executive level communication
• Ownership mentality - proactive, accountable, and lead complex problem-solving independently
• Aligned with Capitolis culture – super smart, badass, good human

The target annual base salary range for this position is $180,000 – $200,000 and is dependent on a variety of factors, including, but not limited to, job-related experience, qualifications, knowledge, and skills. In addition to base salary, the compensation package for this role includes an annual discretionary bonus and company equity. This role is also eligible to participate in company-sponsored benefits and perks.  

Staff Data Engineer - Data Platform 

Capitolis | Tel Aviv | Full-time 

About the Role 

Capitolis is a leading financial technology company that optimizes capital markets through innovative technology solutions. We work with the world's largest financial institutions to improve capital efficiency and reduce risk in their operations. 

We're building an enterprise-wide data platform to unify data from across our applications and systems. We're looking for a Staff Data Engineer to architect and build our AWS + Snowflake data lakehouse, integrate diverse data sources, and enable AI agents to deliver insights to internal teams and external users. 

You'll be the technical leader establishing our data infrastructure from the ground up — building pipelines, setting engineering standards, and creating patterns the team can scale. You'll report to our head of DevOps. 

What You'll Do 

• Build the data platform: Design and implement our data lake on AWS (S3, Glue, Lake Formation) with Snowflake as the analytics layer 

• Enterprise integrations: Create robust pipelines ingesting data from finance systems, applications, and third-party sources using CDC and API integrations 

• Enable AI-driven insights: Build semantic layers and APIs that allow AI agents to query and analyze data securely 

• Optimize for scale: Implement performance tuning, cost optimization, and data quality monitoring across the platform 

• Establish best practices: Define data modeling patterns, governance frameworks, and engineering standards 

• Mentor and lead: Guide engineers on data platform architecture and implementation 

Requirements 

Must-Have: 

• 8+ years in data engineering with 5+ years building data platforms 

• Deep expertise with AWS data services: S3, Glue, Lake Formation, IAM, Step Functions/MWAA 

• Production experience with Snowflake: Snowpipe, virtual warehouses, RBAC, performance optimization 

• Strong Python and SQL skills with focus on data processing and optimization 

• Experience integrating enterprise systems (ERP, CRM, finance platforms) 

• Built real-time or near real-time data pipelines (CDC, streaming) 

Strongly Preferred: 

• LLM/agent integration with data platforms (semantic layers, API design) 

• Data governance and security implementation at scale 

• Change Data Capture tools (Glue DMS, Debezium, Fivetran) 

• Infrastructure as Code (Terraform) 

Nice to Have: 

• Kinesis or Kafka for streaming data 

• Vector databases for AI/ML applications 

• Open source contributions to data tools 

What We're Looking For 

• Builder mindset: You write code and ship infrastructure, not just design architectures 

• Pragmatic decision-making: You balance perfect solutions with delivering value quickly 

• Technical leadership: You establish patterns and mentor through hands-on work 

• Self-starter: Comfortable with ambiguity and defining the path forward 

• Strong communicator: Can translate technical concepts for diverse stakeholders 

Tech Stack 

AWS (S3, Glue, Lake Formation, Lambda, Step Functions), Snowflake, Python, Git