Data Modeler jobs

Key Responsibilities

As a Distinguished Engineer, you will own the long-term technical direction and execution for all data and analytics infrastructure within Saas Data Security and AI.

I. Architecture & Strategic Vision

• Define Architectural Roadmap : Set the 3-5 year technical strategy and architectural vision for the Enterprise DLP data platform, emphasizing scalability, performance, security, and cost-efficiency
• Big Data & AI Foundation : Drive the design, implementation, scaling, and evangelism of the core BigQuery, Vertex AI, Nvidia Triton, Kubeflow platform components that enable high-velocity data ingestion, transformation, and Machine Learning model serving for DLP detections
• Real-time Decisioning: Architect and implement ultra-low latency data ingestion and processing systems (utilizing Kafka, Pub/Sub, Dataflow) to enable real-time DLP policy enforcement and alert generation at massive enterprise scale
• Cross-Functional Influence : Act as the technical voice of the DLP data platform, collaborating with Engineering VPs, Product Management, and Data Science teams to align platform capabilities with product innovation

II. High-Scale Data Platform Engineering

• Big Data Pipeline Mastery : Architect and Lead the design and implementation of highly resilient, optimized batch and real-time data pipelines (ETL/ELT) to transform raw data streams into high-quality, actionable datasets
• Optimized Dataset s: Expertly design and optimize clean, well-structured analytical datasets within BigQuery, focusing on partitioning, clustering, and schema evolution to maximize query performance for both operational analytics and complex data science/ML feature generation
• Database Strategy: Provide deep, hands-on expertise in both SQL and NoSQL databases like MongoDB, Spanner, BigQuery, advising on the optimal data persistence layer for diverse DLP data use cases (e.g., policy configurations, high-speed telemetry, analytical fact tables)
• MLOps Implementation : Establish robust MLOps practices model deployment & execution pipelines like Vertex AI, Nvidia Triton for DLP models, including automated pipelines for continuous training, versioning, deployment, and monitoring of model drift
• Performance Engineering : Debug, optimize, and tune the most challenging performance bottlenecks across the entire data platform, from initial data ingestion to final analytics query execution, often dealing with PBs of data

III. Mentorship & Operational Excellence

• Technical Mentorship : Mentor and develop Principal and Staff-level engineers, raising the bar for engineering craftsmanship and data platform development across the organization
• Operational Health : Define and implement advanced observability, monitoring, and alerting strategies to ensure the end-to-end health and SLOs of the mission-critical DLP data service

Preferred Qualifications

• 12+ years of experience in a high-scale data-intensive environment, with a minimum of 3+ years operating as a Distinguished or Principal-level Engineer/Architect
• Mastery of Google Cloud Platform (GCP) with extensive, hands-on experience architecting and scaling solutions using BigQuery and Vertex AI or equivalent AWS, Azure, or other Big Data & AI services
• Expertise in Big Data processing frameworks and managed services, specifically with building and scaling data and analytics pipelines using Dataflow, Pub/Sub, and GKE (or equivalent technologies like Apache Spark/Kafka)
• Strong experience in SQL & NoSQL databases (e.g., MongoDB, Cassandra, Spanner), with an understanding of their respective architectural trade-offs for distributed systems
• Demonstrated ability to design scalable data models and systems that enable high-precision
• Proven ability to build and optimize clean, well-structured analytical datasets for large-scale business and data science use cases
• Demonstrated experience in implementing and supporting Big Data solutions for both batch (scheduled) and real-time (streaming) analytics
• Prior experience in the security domain (especially DLP, Data Security, or Cloud Security) is a significant advantage
• Exceptional ability to influence technical and business leaders, translating ambiguous problems into clear, executable technical designs
• BS/MS in Computer Science or Electrical Engineering or equivalent experience or equivalent military experience required

Salary Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $230,000/YR - $300,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

• Define and drive the product vision, strategy and roadmap for our Data Security product line

• Conduct market research, competitive analysis and customer feedback to inform product decisions

• Collaborate with design and engineering teams to develop product prototypes and interfaces

• Work closely with data scientists and ML engineers to develop and integrate ML algorithms into the Data Security product lines

• Create and maintain product documentation, including user guides, training materials and release notes

• Monitor product performance and customer feedback to inform product improvements and updates

• Work across functional agile teams (Engineering, UX, customer support, operations, finance, sales and marketing)

• Identify technology partners and drive integration into market leading product

• Drive joint sales (SKUs, solution bundles, incentives) and marketing (collaterals, webinars, trade shows) models with cross-functional teams within and partners

Your Experience

• BS/MS in Computer Science, Engineering or a related field

• MBA is desirable

• 3 years in product management

• Strong understanding of network security principles and solutions

• Client-facing experience through previous product work or customer success roles

• Strong technical background with experience working with data scientists and ML engineers

• Strong understanding of user experience design principles and methodologies

• Excellent communications and collaboration skills, with experience working with cross-functional teams

• Strong analytical and problem-solving skills, with experience using data to inform product decisions

• Experience working in an Agile development environment

• Experience launching cloud products and services

• Demonstrable track record of success

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $148,700 - $240,525/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

• Own the entire product lifecycle, with proven experience taking an IT product from Zero to One.

• Define and champion the holistic vision, strategy, and roadmap for a suite of IT products for opportunity management, account planning, pipeline visibility, and seller coaching

• Enable sales leaders with powerful forecasting tools, scenario modeling, and performance dashboards that convert data into decisions.

• Build a cohesive and intelligent seller workspace that serves as a personalized cockpit, surfacing the right accounts, AI driven action plan, and insights at the right time.

• Identify, scope, and drive the embedding of AI solutions into the core sales journey to automate tasks, provide intelligent guidance, and optimize decision-making.

• Maintain a working knowledge of cutting-edge AI and Machine Learning technologies and their practical application in sales cycles

• Demonstrate exceptional strength in Stakeholder Management, effectively communicating product vision, trade-offs, and progress to executive leadership

• Provide strategic leadership and guidance to a team of Product Managers and Business Analysts, overseeing the definition of detailed product requirements, user stories, and acceptance criteria, fostering a culture of creativity, accountability, and collaboration.

• Work closely with Engineering, UX/UI, and QA teams in an Agile environment to ensure timely and high-quality delivery.

Your Experience

• 15+ years of experience in Enterprise IT with 5+ years of experience in sales domain

• Proven success building products from the ground up and scaling them across global sales teams.

• 5+ years of leadership experience, managing and mentoring senior-level product managers.

• Deep product expertise in CRM platforms and Forecasting platforms in B2B Sales.

• Fluency in modern UX principles — with a passion for designing clean, guided experiences that reduce cognitive load for sellers.

• Experience applying AI/ML to enhance sales intelligence, automate workflows, and personalize seller journeys.

• Exceptional storytelling and stakeholder influence skills — you know how to build alignment and drive urgency.

• Passion for measuring what matters — defining KPIs tied to seller adoption, velocity, and revenue outcomes.

• Preferred:

• Experience with specific AI applications in the B2B context, such as predictive next best action, intelligent content recommendation, sales forecasting, co-pilot interfaces or conversational AI for Sellers.

• Familiarity with cloud-based ML platforms

• Demonstrated ability to partner with geographically distributed teams and external vendors to deliver impactful and scalable solutions

• A proactive self-starter who excels in fast-paced, high-growth environments

• The ideal candidate will have experience leading large-scale transformations in seller enablement or digital sales productivity.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $169000 - $282500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.

The difference you will make:

As a member of this team you would be working with talented engineers on building infrastructure to solve cutting edge experimentation problems. The primary focus of this position will be on our platform’s results computation stack, consisting of data pipelines, a grammar for experimentation, and an analysis engine. You will bring a deep understanding of data processing, API design and experimentation methodology to help us reliably and accurately calculate results at scale, and to push the boundaries of what we can learn from experiments. The stack you would be working with consists of technologies like Spark, Trino, Python, and Airflow.

A typical day:

• Work to build, maintain, optimize and extend complex and large scale data processing pipelines.
• Contribute to Airbnb’s library for flexible and extensible on-demand analysis of experiments.
• Partner with teams across the organization to improve the impact of experimentation across the company. Participate in all phases of software development of the overall platform from architecture/design through implementation, testing, and on-call.
• Work closely with Data Science partners to implement sophisticated statistical methodologies into the platform.

• Participate in experiment reviews to understand how our customers use our infrastructure, identify areas for improvement and learn about features rolling out across the company.

Your expertise:

• 9+ years in a hands-on software engineering role, shipping high quality code to production, especially for high scale, distributed systems, data pipelines, and/or analytical libraries.
• Experience with at least one modern, general programming language (e.g. Python, Java)
• Experience with scientific/statistical computation, especially involving online experimentation
• Experience building software with ergonomic interfaces and great developer experience, especially for technical data users (e.g. data scientists).
• Experience with at least one modern “big data” technology (e.g. Spark, Dataflow)
• Strong SQL skills - you should be able to “go deep” when debugging or optimizing.
• [Nice to have] Experience building frameworks which generate data pipelines at scale.
• [Nice to have] Experience with a distributed stream processing framework (e.g. Flink, Kafka, Dataflow)

Offices: United States

The Community You Will Join:

You will join a team dedicated to driving innovation and optimizing our dynamic Marketplace. As a member of the Marketplace Data Science team, you will tackle challenges at the core of our business, including pricing, supply management, and fee strategies. Collaborating with leaders across the company, you will play a key role in shaping the future of our marketplace.

The Difference You Will Make:

As a Staff Data Scientist, you will be responsible for building data products, inference frameworks, and intelligence to enable the growth of our marketplace. Your work will include:

• Specifying and estimating models to determine the impact of supply and demand on marketplace outcomes
• Delivering data and insights to enable the company’s supply growth efforts
• Providing mentorship to other data scientists and exemplifying a high bar for technical excellence

A Typical Day:

• Crafting models: You will develop models to accurately forecast key marketplace metrics, enabling proactive decision-making and strategic planning.
• Advanced causal inference: Utilizing cutting-edge causal inference techniques, you will quantify the impact of changes in supply and demand on the marketplace, informing targeted improvements and interventions.
• Cross-functional collaboration: You will actively collaborate with teams across product, engineering, and operations to integrate data science insights into initiatives aimed at enhancing supply acquisition, retention, and success.
• Stakeholder engagement: You will engage with stakeholders to understand their business objectives and provide data-driven solutions tailored to these goals.

Your Expertise:

• 9+ years of relevant industry experience and a Master’s degree or PhD in a quantitative field
• Strong fluency in Python or R for hands-on IC work and SQL for advanced data analysis at scale
• Experience with causal inference and machine learning techniques, ideally in a multi-sided platform setting
• Proven ability to succeed in collaborative environments with cross-functional stakeholders and also in independent work environments
• Proven ability to communicate clearly and effectively to audiences of varying technical levels

Offices: United States

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Career

You will be constantly challenged by tough engineering and design tasks, working in a fast-paced setting to deliver high-quality, impactful work.

Your Impact

In this versatile role, you will drive impact across both data engineering and data science domains:

Data Engineering Foundations

• Design & Development: Design and implement scalable data architectures and datasets that support the organization's evolving data needs, providing the technical foundations for our analytics team and business users.

• Data Engineering: Support and implement large datasets in batch/real-time analytical solutions leveraging data transformation technologies.

• Data Security & Scalability: Enable robust data-level security features and build scalable solutions to support dynamic cloud environments, including financial considerations.

• Process Improvement: Perform code reviews with peers and make recommendations on how to improve our end-to-end development processes.

AI/ML Innovation & Business Impact

• Develop & Deploy Classical ML Models: Own the end-to-end lifecycle of machine learning projects. You'll build and productionize sophisticated models for critical business areas such as marketing attribution, customer churn prediction, case escalation and other relevant use-cases to post-sales.

• Optimize AI Agentic Systems: Play a key role in our generative AI initiatives. You will be responsible for characterizing, evaluating, and fine-tuning AI agents—such as conversational systems that allow users to query massive datasets using natural language—to improve their accuracy, efficiency, and reliability.

• Partner with Business Stakeholders: Act as an internal consultant to our Go-to-Market (GTM), Global Customer Services (GCS) and Product and Finance teams. You'll translate business challenges into data science use-cases, identify opportunities for AI-driven solutions, and present your findings in a clear, actionable manner.

• Own the Full Data Science Lifecycle: Your responsibilities will cover the entire project workflow, working with the business to understand the problem, charting a path to solve the problem, feature engineering, model selection and training, robust evaluation, deployment, and, in partnership with the data platform team, ongoing monitoring for performance degradation.

Your Experience

• 7 plus years experience building and maintain data pipeline both for reporting, analysis and feature engineering.

• Experience building and optimizing clean, well-structured analytical datasets for business and data science use cases. This includes Implementing and supporting Big Data solutions for both batch (scheduled) and real-time (streaming) analytics.

• Prior experience working extensively within dynamic cloud environments, specifically Google Cloud Services (GCS) BigQuery and Vertex AI.

• Prior experience developing dashboards in Tableau/Looker or similar data viz platform.

• Nice to have: Experience implementing and managing data-level security features to ensure data is protected and access is properly controlled.

• Expert-level programming skills in Python and familiarity with core data science and machine learning libraries (e.g., Scikit-learn, Pandas, PyTorch/TensorFlow, XGBoost).

• A solid command of SQL for complex querying and data manipulation.

• Proven ability to work autonomously, navigate ambiguity, and drive projects from concept to completion.

Preferred Qualifications

• Prior working experience in Customer Analytics space and customer experience use-cases, e.g. Escalation, Risk predictors, Renewals and efficiency of project delivery in Professional Services space.

• Direct experience with generative AI, including hands-on work with LLMs and frameworks like LangChain, LlamaIndex, or the Hugging Face ecosystem.

• Experience in evaluating and optimizing the performance of AI systems or agents.

• Demonstrated expertise in specialized modeling domains such as causal inference, time-series analysis.

• An MS or PhD in a quantitative field like Computer Science, AI, Statistics, or equivalent practical experience or equivalent military experience.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $143000- $231000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

• Design, develop, and maintain data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse or data lake environment

• Aptitude for proactively identifying and implementing GenAI-driven solutions to achieve measurable improvements in the reliability and performance of data pipelines or to optimize key processes like data quality validation and root cause analysis for data issues, is a nice-to-have

• Collaborate with stakeholders to gather requirements and translate business needs into technical solutions

• Optimize and tune existing data pipelines for performance, reliability, and scalability

• Implement data quality and governance processes to ensure data accuracy, consistency, and compliance with regulatory standards

• Work closely with the BI team to design and develop dashboards, reports, and analytical tools that provide actionable insights to stakeholders

• Mentor junior members of the team and provide guidance on best practices for data engineering and BI development

Your Experience

• Bachelor's degree in Computer Science, Engineering, or a related field

• 5+ years of experience in data engineering, with a focus on building and maintaining data pipelines and analytical solutions

• Demonstrated readiness to leverage GenAI tools to enhance efficiency within the typical stages of the data engineering lifecycle, for example by generating complex SQL queries, creating initial Python/Spark script structures, or auto-generating pipeline documentation, is a nice-to-have

• Expertise in SQL programming and database management systems

• Hands-on experience with ETL tools and technologies (e.g. Apache Spark, Apache Airflow)

• Familiarity with cloud platforms such as Google Cloud Platform (GCP), and experience with relevant services (e.g. GCP Dataflow, GCP DataProc, Biq Query, Procedures, Cloud Composer etc).

• Experience with Big data tools like Spark, Kafka, etc

• Experience with object-oriented/object function scripting languages: Python/Scala, etc

• Experience working SFDC Data Objects (Opportunity, Quote, Accounts, Subscriptions, Entitlements) would be highly desired

• Experience with BI tools and visualization platforms (e.g. Tableau) is a plus

• Strong analytical and problem-solving skills, with the ability to analyze complex data sets and derive actionable insights

• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $145000/YR - $235500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.