Senior Cybersecurity Data Engineer AIML SME

Your work days are brighter here.

Were obsessed with making hard work pay off for our people our customers and the world around us. As a Fortune 500 company and a leading AI platform for managing people money and agents were shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join youll feel it. Not just in the products we build but in how we show up for each other. Our culture is rooted in integrity empathy and shared enthusiasm. Were in this together tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether youre building smarter solutions supporting customers or creating a space where everyone belongs youll do meaningful work with Workmates whove got your return well give you the trust to take risks the tools to grow the skills to develop and the support of a company invested in you for the long haul. So if you want to inspire a brighter work day for everyone including yourself youve found a match in Workday and we hope to be a match for you too.

About the Team

About the Role

We are seeking a highly specialized Senior Data Engineer - Cybersecurity to serve as the Subject Matter Expert (SME) for AI/ML and Platform Integration. This critical role sits at the intersection of core data platform infrastructure advanced analytics and external system integrations. Your primary mission is to optimize our data platform to serve as a high-performance engine for Data Science Machine Learning (ML) and Generative AI (GenAI) workloads.

Additionally you will own the integration fabric of the platformbuilding the robust APIs webhook ingestion engines and data connectors that seamlessly sync our central lakehouse with downstream business applications SaaS platforms and third-party ecosystems.

Key Responsibilities

• AI/ML Data Infrastructure & Tooling: Design provision and maintain the platform infrastructure required for end-to-end machine learning lifecycles. Optimize the platform for distributed training model evaluation and batch/real-time inference.

• Enterprise Feature Store Architecture: Design and manage the enterprise Feature Store. Ensure consistent low-latency feature delivery preventing data leakage between training pipelines and real-time production inference.

• Vector Infrastructure for GenAI: Architect and maintain vector databases and indexing pipelines required to support Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) patterns and semantic search.

• Platform Integration & API Management: Serve as the SME for how external applications interact with the data lakehouse. Design build and secure high-throughput APIs data connectors and reverse-ETL patterns to sync data back into business systems (e.g. CRMs ERPs marketing automation).

• MLOps Collaboration & Automation: Partner closely with Data Scientists and MLOps teams to establish CI/CD automation for ML (MLOps). Transition experimental unoptimized data science notebooks into resilient production-grade automated workflows.

• Compute Optimization for Data Science: Configure and optimize compute engines tailored for heavy mathematical and data science workloads (e.g. Ray Spark/EMR GPU instances).

About You

Basic Qualification

• Experience: 5 years of data engineering experience with at least 2 years dedicated to supporting machine learning platforms MLOps or complex platform integrations.

• ML Data Stack: Deep hands-on experience with AWS SageMaker MLflow or equivalent cloud-native ML platforms.

• Feature Stores & Vector DBs: Proven experience implementing feature store frameworks (e.g. Feast SageMaker Feature Store) and vector databases (e.g. Pinecone Milvus Qdrant or Pgvector).

• Distributed Compute & ML Libraries: Strong experience using Apache Spark / AWS EMR Ray or Dask to process massive datasets for feature extraction and model preparation.

• Integration Patterns: Expert knowledge of building rest APIs Webhooks and utilizing streaming tools (e.g. AWS Kinesis Kafka) for real-time integration.

• Languages & CI/CD: Advanced proficiency in Python (including ML ecosystems like Pandas NumPy Scikit-Learn) and SQL. Extensive experience with GitHub Actions GitLab CI or Jenkins for data/ML pipelines.

Other Qualifications

• Experience deploying and fine-tuning open-source LLMs or orchestrating AI agents using frameworks like LangChain or LlamaIndex.

• Experience with reverse-ETL tools (e.g. Census Hightouch) or enterprise integration platforms.

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidates compensation offer will be based on multiple factors including but not limited to geography experience skills job duties and business need among other things. For more information regarding Workdays comprehensive benefits please click here.

Our Approach to Flexible Work

With Flex Work were combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections maintain a strong community and do their best work. We know that flexibility can take shape in many ways so rather than a number of required days in-office each week we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers prospects and partners (depending on role). This means youll have the freedom to create a flexible schedule that caters to your business team and personal needs while being intentional to make the most of time spent together. Those in our remote home office roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

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