# Senior Director, Data Engineer **Company**: Capital One **Experience**: senior **Job type**: full-time **Salary**: $314,800 - $359,300 **Category**: Engineering **Industry**: Finance **Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/McLean-VA/Senior-Director--Data-Engineer_R1002059-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_43193f1a-f73 ## Description As a Senior Director, Data Engineer at Capital One, you will lead high-performing engineering teams working to define the future of data platforms and banking in the cloud. You will partner closely with product managers, data scientists, architects and executive leaders to deliver scalable, data-driven solutions. Our Senior Directors are technical people leaders who drive data engineering strategy, guide complex architectural decisions and translate business goals into impactful data platforms. Senior Directors are expected to lead through technical vision, operational rigor and strategic alignment. You will serve as a key owner for your domain's technical health, delivery velocity and system resilience. While shaping long-term data strategy and platform roadmaps, you will inspire a culture of continuous learning, innovation and high-impact delivery across your organisation. The Identity Analytics & Intelligence organisation sits at the intersection of data, machine learning and security. We build the data foundations, ML systems, and security products that decide - in real time - who and what can access Capital One's systems, and that detect and respond when something looks wrong. **What You'll Do in the Role** - Own the enterprise strategy and multi-year roadmap for identity analytics, access decisioning, and AI/ML security platforms , aligning AI/ML investment with business, audit, and regulatory priorities, and partnering with C-suite and CISO-org stakeholders to fund next-generation capabilities. - Lead and grow a 50+ person organisation across Data Engineering, ML, Generative AI, and Security Products, including managers and senior individual contributors. - Set technical direction hands-on. - Review architectures, model designs, and system trade-offs. - Architect low-latency, event-driven systems for real-time identity decisioning and threat detection based on streaming telemetry, behavioural signals, and contextual graph data. - Design, build, and maintain robust ML infrastructure and pipelines supporting end-to-end workflows. - Drive the evolution of MLOps practices through 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 , combining behavioural analytics, ML-based intent determination, and context graphs to secure AI agents and workload identities. - Apply state-of-the-art LLM and GenAI techniques in production for threat-intelligence summarisation, automated incident triage, and adaptive access-policy recommendation. - Operate an automated governance function with pipelines from enterprise and IGA platforms, operationalising NIST controls with continuous control validation and audit-ready evidence. - Lead enterprise readiness for emerging cyber risk posed by frontier AI models and agentic attack patterns. **Basic Qualifications:** - Bachelor’s Degree in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) - At least 9 years of experience in data engineering - At least 7 years of people management experience - At least 7 years of experience programming with at least one of the following languages: Python, Java, or Scala - At least 5 years of experience driving technical delivery of roadmap features - At least 6 years of experience designing and developing data pipelines - At least 4 years of experience in data modelling 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 of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud) - 8+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks - 8+ years of experience designing, implementing, and operating real-time or streaming data pipelines - 6+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster) - 8+ years of experience working with unstructured or semi-structured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB) - 8+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift) - 6+ years of experience working in an Agile development environment - 6+ years of experience developing user-centric reusable data products - 5+ years of experience in Data Governance, Data Governance Platforms, Data Standardisation, and Data Modelling The minimum and maximum full-time annual salaries for this role are: McLean, VA: $314,800 - $359,300 for Sr. Director, Data Engineer New York, NY: $343,400 - $392,000 for Sr. Director, Data Engineer Plano, TX: $286,200 - $326,700 for Sr. Director, Data Engineer Richmond, VA: $286,200 - $326,700 for Sr. Director, Data Engineer ## Skills ### Required - Python - Java - Scala - data engineering - machine learning - data modelling - data pipelines ### Nice to have - public cloud - distributed data - real-time data pipelines - data observability - data orchestration - NoSQL databases - data warehousing --- Source: [Apply at capitalone.wd12.myworkdayjobs.com](https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/McLean-VA/Senior-Director--Data-Engineer_R1002059-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)