Description
Description
We provide technology that community financial institutions use to manage risk and drive growth. Our solutions automate key processes – from anti-money laundering to fraud detection to CECL readiness to lending workflows – empowering our customers by addressing their Enterprise Risk Management needs.
We are seeking a Director of Data Engineering to lead and scale our data and AI engineering organization. This role will be instrumental in defining the technical strategy and architecture for a highly scalable, cloud-based data platform that powers our financial technology solutions, including financial transaction analysis and other mission-critical products.
This leader will be responsible for designing and implementing best-in-class data infrastructure, pipelines, and engineering practices, ensuring high availability, security, and performance for financial institutions. They will build and manage high-performing teams, drive data platform innovation, and collaborate closely with cross-functional stakeholders to support business and product objectives. This position will be based in Raleigh, NC, Austin, TX, or remote. Occasional travel is required for team events and strategic collaboration.
What You'll Do:
Data Platform & Technical Strategy
- Define and execute a scalable, resilient data platform strategy that aligns with business objectives and industry best practices.
- Architect and drive the adoption of cloud-native data solutions (AWS, Azure, GCP), including data lakes, data warehouses, and real-time streaming pipelines.
- Lead initiatives around data governance, security, and compliance (SOC 2, PCI DSS), ensuring financial industry standards are met.
- Drive automation-first approaches with Infrastructure-as-Code (IaC), self-service data platforms, and DevOps methodologies.
- Stay ahead of emerging data engineering trends, including serverless computing, AI/ML integration, ML Ops patterns and practices, and event-driven architectures.
Leadership & Team Development
- Build and mentor a high-performing data and AI platform engineering team, fostering a culture of innovation, collaboration, and continuous learning.
- Scale and structure the engineering team to support the growth of distributed data-intensive applications.
- Provide strong leadership for engineering managers, setting clear objectives, roadmaps, and career development pathways.
- Promote a culture of psychological safety, technical excellence, and accountability.
Execution & Operational Excellence
- Establish best-in-class data engineering and DevOps practices, including CI/CD pipelines, observability, and automated testing.
- Optimize data ingestion, transformation, and processing for high-performance analytics and machine learning applications.
- Define and track key performance indicators (data availability, pipeline latency, SLA adherence) to drive continuous improvement.
- Oversee Agile/Scrum processes, ensuring efficient and predictable delivery of data platform initiatives.
Cross-Functional Collaboration
- Partner with Product and Engineering teams to build scalable data solutions that enable advanced analytics, credit/lending models, and financial insights.
- Work closely with Finance, Compliance, and Risk teams to ensure data integrity, security, and adherence to financial regulations.
- Collaborate with Executive Leadership to communicate data strategy, platform evolution, and business impact.
What You'll Need:
- Bachelor’s degree in Computer Science, Engineering, or a related technical field (Master’s degree or MBA a plus).
- 10+ years of software engineering experience, with at least 5 years in senior leadership roles managing engineering managers and cross-functional teams.
- Deep experience in cloud-based data architectures (AWS, Azure, GCP), with expertise in data lakehouses, data streaming (Kafka, Kinesis), and distributed databases.
- Hands-on experience building high-scale, real-time data processing pipelines, utilizing Spark, Flink, or similar frameworks.
- Strong background in data security, governance, and compliance, particularly in financial services.
- Proficiency in Kubernetes, Docker, and microservices architectures for scalable data processing.
- Experience implementing ML/AI-driven analytics platforms and operationalizing data science workflows.
- Ability to travel at least once a quarter.
Leadership & Business Acumen
- Proven ability to define and execute data strategies that align with business goals and drive innovation.
- Experience managing budgets, vendor relationships, and technology roadmaps for large-scale data platforms.
- Strong track record of mentoring and growing data engineering leaders.
- Exceptional stakeholder communication skills, with the ability to bridge technical and business discussions effectively.
- Process & Methodologies: Hands-on experience implementing Agile/Scrum methodologies, CI/CD processes, and DevOps practices.
- Financial Services or SaaS: Experience in fintech, banking software, or highly regulated industries is highly desirable.
What You’ll Get:
- Market competitive total rewards package
- To be part of the Heart & SOUL of a winning company with an inspiring mission
- The opportunity to Make Big Things Happen
- Competitive salary along with full health benefits with an HSA option
- Flexible PTO and bank holidays
- 401(k) plan and company match
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, age, genetic trait, sexual orientation, national origin, disability status, or any other characteristic protected by law. Abrigo is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected] with the subject line accommodation.
Abrigo
Asset Management
Banking
FinTech
Fraud Detection
Lending
Risk Management
Software
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