Data Engineer responsible for building and maintaining data solutions using Microsoft Fabric. Working within a consultancy environment to meet client expectations across various sectors.
About the role
- Senior Manager leading Data Strategy and DataOps for cybersecurity at Wells Fargo. Building modern cyber data platforms and driving analytics enablement with high-quality security insights.
Responsibilities
- Lead and develop global teams of software and data engineers responsible for designing, building, and operating cyber data platforms and pipelines
- Define and drive the Cyber Data Strategy across Vulnerability Management, Application Security, and Cloud Security domains
- Establish and scale DataOps practices, including CI/CD for data pipelines, data quality automation, observability, and operational monitoring
- Ensure engineering solutions meet enterprise standards for security, resiliency, scalability, and data governance
- Partner with enterprise architects and senior engineers to design modern data architectures, including cloud-native and platform-based solutions
- Enable ingestion, normalization, correlation, and enrichment of cyber data from diverse sources (scanning tools, cloud platforms, application security tools, third-party feeds)
- Guide platform decisions, including build vs. buy, tooling selection, and strategic vendor integrations
- Own the end-to-end delivery lifecycle for cyber data solutions, from design through production and ongoing operations
- Act as an escalation point for delivery risks, data reliability issues, and cross-team dependencies
- Ensure adherence to Secure Software Development Lifecycle (SSDLC) and enterprise risk management expectations
- Promote a culture of continuous improvement, experimentation, and learning using agile and DevOps/DataOps practices
- Partner with Cyber Product Managers and domain leaders to define data requirements, analytics use cases, and roadmap priorities
- Translate cybersecurity and risk management needs into actionable data and engineering deliverables
- Communicate data strategy, platform capabilities, and delivery progress to senior leadership and executive stakeholders
- Collaborate with Enterprise Data, Platform, and Analytics teams to maximize reuse and consistency
- Hire, coach, and develop high-performing engineering talent with skills across data engineering, platform engineering, and cloud technologies
- Manage performance, career development, and succession planning for engineers and engineering managers
- Manage allocation of people and financial resources aligned to strategic priorities and delivery commitments
- Foster an inclusive, accountable, and innovation-driven engineering culture
Requirements
- 6+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 3+ years of management or leadership experience
- Strong hands-on experience in data engineering, including batch and streaming pipelines
- Experience building and operating DataOps capabilities (pipeline automation, observability, data quality, CI/CD for data)
- Deep understanding of cloud platforms (Azure, AWS, or GCP) and cloud-native data services
- Experience supporting cybersecurity, risk, or compliance data domains
- Familiarity with enterprise observability and analytics platforms (e.g., Elastic Stack or similar)
- Strong grasp of Agile, DevOps, and modern engineering metrics
- Product-oriented mindset with experience delivering scalable, customer-centric data platforms
- Exceptional communication skills with the ability to influence senior technical and non-technical stakeholders
- Bachelor’s or master’s degree in computer science, Engineering, Data, or related field
- Relevant certifications in cloud, data, or security are a plus.
Benefits
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
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