Senior Cybersecurity Data Engineer Data Platform & Lakehouse SME

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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 powerhouse Senior Data Engineer to serve as the Subject Matter Expert (SME) for Data Platform and Lakehouse Architecture. In this role you will be the foundational architect of our data universe. While other teams focus on moving data through pipelines or building machine learning models your mission is to build secure and optimize the actual bedrockthe data lake storage layers and compute infrastructurethat powers our entire security operations and beyond.

As the Platform SME you will define how data is physically stored partitioned and accessed. You will establish the frameworks compliance guardrails and compute engine standards that allow the Data Logistics and AI/ML teams to build their workloads safely rapidly and at massive scale.

Key Responsibilities

• Data Lakehouse Architecture: Lead the design infrastructure implementation and evolution of our enterprise Data Lake/Lakehouse ecosystem on AWS.

• Storage & Table Format Optimization: Serve as the ultimate authority on modern open-table formats (Apache Iceberg or Delta Lake). Define the standards for partition strategies schema evolution file compaction retention and storage tiering to maximize performance and slash storage costs.

• Compute Infrastructure Scaling: Design configure and maintain the foundational compute engines and query layers (e.g. AWS EMR clusters AWS Athena Redshift) utilized by downstream data engineers analysts and BI tools.

• Data Mart & Semantic Platform Architecture: Define the foundational infrastructure and access patterns for enterprise Data Marts. Ensure underlying engines are optimized to handle heavy concurrent query loads from downstream BI and reporting tools.

• Security Identity & Access Management (IAM): Architect and enforce global data governance network isolation encryption (at rest and in transit) and fine-grained access controls using AWS Lake Formation and AWS IAM.

• Infrastructure as Code (IaC): Treat all platform infrastructure as software. Provision deploy and version-control the entire data platform environment using automated reproducible code.

• Cost Governance & Capacity Planning: Proactively monitor alert and optimize AWS data spend. Perform capacity planning to ensure the platform scales seamlessly with data volume growth.

About You

Basic Qualifications

• Experience: 5 years of deep experience in data platform engineering cloud infrastructure engineering or data architecture with a proven track record of designing large-scale enterprise data lakes.

• Table Formats & Storage: Expert-level knowledge of open-table formats (Apache Iceberg is highly preferred or Delta Lake) and deep understanding of file format internals (Parquet ORC metadata layers).

• AWS Cloud Native Data Infrastructure: Advanced production-level expertise across the AWS data stack specifically AWS EMR (Spark/Presto/Trino tuning) AWS Athena S3 infrastructure and AWS Lake Formation.

• Infrastructure as Code (IaC): Advanced proficiency with Terraform or AWS CDK for provisioning secure multi-environment data infrastructures.

• Data Warehousing Foundations: Deep understanding of modern cloud data warehouses (Snowflake Databricks or AWS Redshift) and cluster sizing/workload management.

Other Qualifications

• Languages: Advanced proficiency in SQL (performance tuning query optimization) and Python or Bash for infrastructure automation.

• AWS Certified Solutions Architect Professional or AWS Certified Data Engineer.

• Experience setting up multi-region data lakes cross-account data sharing or data mesh architectures.

• Experience with open-source query engines like Trino or StarRocks.

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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