Identity And Access Engineer Jobs

1 job found

1d ago

Senior Director, Data Engineer

Capital One McLean, VA

McLean, VA

1d ago

$315k - $359k/yr Full time Manager Artificial Intelligence Big Data

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Job Description

Drive enterprise data engineering leadership for identity analytics, real-time decisioning, and AI/ML security platform capabilities.

Responsibilities

Own enterprise strategy and multi-year roadmap for identity analytics, access decisioning, and AI/ML security platforms, aligning AI/ML investment with business priorities plus audit and regulatory needs
Partner with C-suite and CISO-org stakeholders to fund next-generation capabilities
Lead and grow a 50+ person organization across Data Engineering, ML, Generative AI, and Security Products, including managers and senior individual contributors
Hire, develop, and retain technical talent; set engineering standards and maintain delivery excellence
Set technical direction hands-on
Review architectures, model designs, and system trade-offs
Stay close to code and data to make sound decisions under uncertainty and earn engineering credibility
Architect low-latency, event-driven systems for real-time identity decisioning and threat detection using streaming telemetry, behavioral signals, and contextual graph data
Design, build, and maintain robust ML infrastructure and pipelines for end-to-end workflows: feature extraction, training, testing, guardrails, evaluation, deployment, and both real-time and batch inference with performance, scalability, and reliability
Advance MLOps practices with automated, metrics-backed deployment workflows, integration validation and testing systems, and scalable monitoring and observability for models in production
Build the intelligence layer for agentic and non-human identity using behavioral analytics, ML-based intent determination, and context graphs to secure AI agents and workload identities
Apply state-of-the-art LLM and GenAI in production for threat-intelligence summarization, automated incident triage, and adaptive access-policy recommendations; introduce optimization techniques to improve scalability, cost, latency, and throughput
Operate automated governance with pipelines from enterprise and IGA platforms, operationalizing NIST controls with continuous control validation and audit-ready evidence
Lead enterprise readiness for emerging cyber risk from frontier AI models and agentic attack patterns

Requirements

Bachelor’s Degree in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
9+ years of experience in data engineering
7+ years of people management experience
7+ years of programming experience with at least one of: Python, Java, Scala
5+ years driving technical delivery of roadmap features
6+ years designing and developing data pipelines
4+ years in data modeling and designing end-to-end data solutions using both relational and non-relational database systems

Preferred Qualifications

Master’s Degree in Computer Science or a related field
12+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java
8+ years hands-on experience designing, deploying, and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, Google Cloud)
8+ years experience building or supporting distributed data or compute workloads using EMR, Spark, Glue, or Databricks
8+ years experience designing, implementing, and operating real-time or streaming data pipelines
6+ years experience in data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
8+ years experience working with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB)
8+ years experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift)
6+ years experience working in an Agile development environment
6+ years experience developing user-centric reusable data products
5+ years experience in Data Governance, Data Governance Platforms, Data Standardization, and Data Modeling

Technologies

Python, Java, Scala
NIST
AWS, Microsoft Azure, Google Cloud
EMR, Spark, Glue, Databricks
Airflow, Dagster
Monte Carlo, Splunk
MongoDB, Cassandra, DynamoDB
Snowflake, Redshift, SQL, NoSQL
Generative AI, LLMs, GenAI

Benefits

Comprehensive, competitive, and inclusive set of health, financial and other benefits supporting total well-being
Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Location and Salary

McLean, VA (onsite): USD 314,800 - 359,300 per year
New York, NY: USD 343,400 - 392,000 per year
Plano, TX: USD 286,200 - 326,700 per year
Richmond, VA: USD 286,200 - 326,700 per year
Pay range for other locations may differ; actual annualized salary offered at hire is reflected in the candidate’s offer letter

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