Director of Data Engineering

About SEON :

Are you a technically skilled, hands-on leader who's passionate about data? Join us at SEON and explore the opportunity to join a world-class research and development organization passionate about creating incredible experiences for our employees and customers through superior data-driven insights.

These incredible experiences ensure that we can continue to execute our mission of making the internet a safer place to do business!

SEON provides an API-first solution that helps our customers (many of the world's leading providers of digital experiences for consumer financial services, insurance, online entertainment, etc.

defend their customers against Fraud and Financial Crimes. With over 250 Fraud Fighters across four global offices (Austin, Budapest, London, and Jakarta), our goal remains unwavering : to make the internet safe for businesses and consumers to transact.

Our achievements, including a record-breaking Series B funding round and recognition in TechCrunch, have led to recognition as the World's quickest-growing fraud prevention company.

We take pride in our rapid growth and mission to democratize fraud-fighting while empowering the best online businesses.

Join us in our journey to make the internet safer for everyone.

What You'll Do :

As the Director of Data Engineering at SEON, you will be responsible for the ownership and optimization of the technology teams responsible for Data Engineering, Data Science, Business Intelligence, & our AI / ML technology stack.

• Develop and execute data strategy and architecture to drive business objectives and empower engineering teams and data analysts.
• Establish data pipeline and modeling standards for the core platform, data science, and engineering teams to ensure consistency and usability.
• Enable business and engineering teams to access cross-functional data quickly and without discrepancies.
• Design data models for both business analytics and customer applications.
• Stay abreast of emerging technologies and industry trends in data engineering and architecture.
• Establish and maintain data governance policies and procedures.
• Make proposals and suggestions on how to solve data problems and present insights and recommendations to executive leadership.
• Design processes for operational excellence in system reliability and project management.
• Define and manage SLA's for data infrastructure systems, datasets and processes in production.
• Manage relationships and negotiations with external vendors.
• Implement processes and policies for infrastructure cost containment and cost forecasting.
• Proactively uncover areas of SEON's product and user experience that can be enhanced by generative AI and machine learning solutions and partner with Technology leadership to prioritize them.
• Operate as a thought partner and leader to Technology and GTM leadership, identifying risks and opportunities to shape our products and their potential to transform well-being through ML / AI.
• Promote the adoption of emerging and relevant approaches to solving ML and AI problems and empower the team to embrace pragmatic approaches to evaluating multiple solutions.
• Lead, develop, and mentor a team of ML engineers, data scientists and data engineers.

What You Bring :

• 8+ years of software engineering experience in broad-based information systems, full life-cycle application development, and / or building enterprise applications.
• 7+ years of experience in data engineering and modeling.
• Experience with data governance and compliance regulations (e.g., GDPR, CCPA), and data security best practices preferred.
• Expert proficiency in SQL.
• Comprehensive technical expertise in a variety of data engineering, modeling, and business intelligence applications, such as PostgreSQL, Clickhouse, Elasticsearch, Databricks, SnowFlake, SageMaker, Tableau or comparable technologies.
• Strong understanding of how web services and SaaS applications work.
• Exceptional service orientation and ability to lead change using positive and collaborative methods; removes barriers, acts with a sense of urgency, and leads by example.
• Demonstrated history of leadership in managing high-impact machine learning and engineering projects, preferably in a SaaS startup / scaleup environment.
• Strong leadership, vision, and proven track record of creating and successfully executing a data strategy.
• A track record of managing a globally distributed, multi-discipline Data team, with experience overseeing Data Science, Data Engineering, and Machine Learning.
• Experience with distributed system design, system scaling, and performance optimization.
• Practical experience implementing machine learning models & GenAI for predictive business outcomes.
• Strong communication and collaboration skills across multiple levels, from detailed technical designs with engineering to broad product initiatives with key business stakeholders.

It's a Plus If You Have :

• Demonstrated experience building high-performance systems with a major cloud provider (AWS preferred).
• Knowledge of modern DevOps technologies, such as Terraform, Kubernetes, ELK stack, Prometheus, etc.
• Technical expertise with the building blocks of a modern data stack, such as Prefect, AWS Glue, Iceberg, MLflow, dbt, Snowflake, and others.
• Experience with large-scale data migration projects, ensuring minimal disruption and data integrity.
• Expertise in designing and implementing real-time data processing and streaming solutions.

What We Offer :

• Competitive salary and incentive compensation structure.
• Hybrid work model.
• Extensive Benefits package (Health, Dental, Vision, Disability, 401k w / match, etc.).
• Best-in-class tech gear.
• Immediate impact on a smart, growing, global team.
• Access to continuous development tools & a strong coaching culture.
• Employee stock ownership plan (ESOP).
• Generous vacation & leave policies.
• Complimentary weekly language courses.
• Weekly in-office lunch delivery budget.

What's Next :

Does that sound good? Great, we can't wait to hear from you! Would you like to learn more about what it's like to work at SEON first?

The following information provides an overview of the skills, qualities, and qualifications needed for this role.

Here you go : https : / / careers.seon.io /

Diversity Statement :

SEON is an Equal Opportunity Employer. We celebrate differences and do not discriminate based on ethnicity, religion, color, sex, gender identity, sexual orientation, age, or mental disability.

Please let your recruiter know if you need reasonable adjustments to our recruitment process.

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