Data Architect - EU Remote CET

July 16

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Harness the power of AI to protect your business from fraud, get a 360° view of customers, and increase conversion rates

fraud prevention • device fingerprinting • predictive analysis • cyber intelligence services • email analysis

201 - 500

Description

• Lead data engineering projects across product development organization • Shape data stack's technical architecture • Develop and implement overall data architecture aligned with business objectives • Design, build, and maintain robust, scalable, high-performance database systems • Work closely with engineering and product teams • Monitor and optimize performance of data systems • Create and maintain comprehensive documentation for data architecture, systems, and processes • Stay current with emerging technologies and industry trends • Promote adoption of emerging approaches to solving ML and AI problems

Requirements

• 5+ years of experience in data engineering and modeling • 8-10 years of experience taking on progressively more responsibility and increasing complexity in a software engineering team • Software engineering experience across the entire lifecycle of application development • Experience with data governance and compliance regulations (e.g., GDPR, CCPA) preferred • Expert proficiency in SQL • Comprehensive technical expertise in a variety of data engineering, modeling, and business intelligence applications, such as PostgreSQL, Clickhouse, Elasticsearch, SnowFlake, or comparable technologies • Proficiency in NoSQL databases, such as MongoDB, Redis, or similar technologies • Demonstrated experience with at least one major cloud provider (AWS preferred) • Knowledge of modern DevOps technologies, such as Terraform, 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 • Demonstrated history of managing high-impact machine learning and engineering projects, preferably in a SaaS startup/scaleup environment • 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

Benefits

• 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