Cybersecurity Data Scientist Jobs in Colorado (NOW HIRING)

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About the Team

We are a newly formed, forward-looking Cybersecurity Data Engineering & Enablement Team driving the future of our enterprise defense strategy. Our mission is to build a next-generation, centralized data lakehouse that unifies all security telemetry into a single, high-performance ecosystem. Operating across two specialized verticals-Data Engineering (ingestion, enrichment, and semantic layers) and Data Platform (foundational infrastructure, security architecture, and AI enablement)-we are designing a scalable, cloud-native foundation from the ground up. By combining cutting-edge data architecture with advanced analytics, we empower our threat hunters, data scientists, and incident responders with the real-time, trusted intelligence needed to protect the enterprise at scale.

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 bedrock-the data lake, storage layers, and compute infrastructure-that 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: 7+ years in data platform engineering, cloud infrastructure engineering, or data architecture, supporting large-scale enterprise data lakes.

• Table Formats & Storage: 3+ years operating Apache Iceberg (highly preferred) or Delta Lake in production; expert understanding of file format internals (Parquet, ORC, metadata layers).

• AWS Cloud Native Data Infrastructure: 3+ years production-level experience across the AWS data stack, specifically AWS EMR (Spark/Presto/Trino tuning), AWS Athena, S3 infrastructure, and AWS Lake Formation.

• Infrastructure as Code (IaC): 3+ years using Terraform or AWS CDK for provisioning secure, multi-environment data infrastructures.

• Data Warehousing Foundations: 3+ years of modern cloud data warehouses (Snowflake, Databricks, or AWS Redshift) and cluster sizing/workload management experience.

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 candidate's 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 Workday's comprehensive benefits, please click here.

Primary Location: USA.VA.Reston

Primary Location Base Pay Range: $159,600 USD - $239,400 USD

Additional US Location(s) Base Pay Range: $144,400 USD - $258,000 USD

Additional Considerations:

If performed in Colorado, the pay range for this job is $152,000 - $228,000 USD based on min and max pay range for that role if performed in CO.08/16/2026

Our Approach to Flexible Work

With Flex Work, we're 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 you'll 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.

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