ComplyAdvantage
Financial Services
PrincipalDataEngineer
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“Principal Data Engineer at ComplyAdvantage. Skills: Data platform architecture, Distributed systems, Cloud architecture, Data engineering. Lead design of data platform. Lead evolution of data platform”
What You'll Achieve.
Detect money laundering; Detect terrorist financing; Detect sanctions evasion; Detect financial crime; Ship new detection models; Ship risk signals; Automate KYC; Automate AML; Automate sanctions reviews; Cut onboarding times; Reduce false positives; Handle more work
Industry & Context.
Root cause analysis; Troubleshooting; Data-driven decision making
What They're Looking For.
Must Have
Substantial experience designing production-grade data platforms, Deep expertise in distributed data systems, Production Python experience, Experience designing for cloud, Experience designing for containerised infrastructure, Track record of treating data quality as first-class concern, Track record of treating observability as first-class concern, Track record of treating data contracts as first-class concern, Working understanding of logging tooling for data systems, Working understanding of monitoring tooling for data systems, Working understanding of alerting tooling for data systems, Working understanding of incident management tooling for data systems, Ownership of software and data products, Track record of coaching engineers, Track record of helping recruiting improve hiring, Track record of helping recruiting improve onboarding
Nice to Have
Experience building data systems in financial services, Experience building data systems in AML, Experience building data systems in KYC, Experience building data systems in fraud, Experience building data systems in regtech, Experience building data systems in regulated domain, Experience operating data systems in financial services, Experience operating data systems in AML, Experience operating data systems in KYC, Experience operating data systems in fraud, Experience operating data systems in regtech, Experience operating data systems in regulated domain, Familiarity with knowledge graph problems, Familiarity with entity resolution problems, Experience supporting ML workloads, Experience supporting LLM workloads, Experience supporting agentic AI workloads, Experience representing engineering externally at conferences, Experience representing engineering externally at meet-ups, Experience representing engineering externally in technical publications
What You'll Do.
Lead design of data platform
Lead evolution of data platform
Set technical direction for data infrastructure
Partner with Engineering leadership
Partner with Data Science leadership
Partner with Product leadership
Partner with SRE leadership
Tackle hard data problems
Represent ComplyAdvantage at events
Lead architectural design of data systems
Shape engineering team ways of working
Set data quality standards
Set tooling standards
Ship work with direct impact
Improve hiring process
Coach engineers across organisation
Architect petabyte-scale data platforms
Design data platform lineage
Design data platform quality
Design data platform freshness
Design data platform observability
Build foundational data infrastructure
Evolve foundational data infrastructure
Set standard for event-sourced patterns
Set standard for streaming patterns
Drive consistency in data production
Drive consistency in data consumption
Design data services for scale
Design data services for ease of operation
Write maintainable Python code
Write performant Python code
Write well-tested Python code
Review code of others
Partner with ML engineers
Partner with data scientists
Support feature engineering at scale
Support training pipelines at scale
Support online inference at scale
Set data quality standards for teams
Set schema evolution standards for teams
Set contract testing standards for teams
Integrate data platform with services
Consume event streams
Produce documentation for self-service
Coach staff engineers
Coach senior engineers
Coach mid-level engineers
Build bench of future leaders
Own technical architecture of data platform
Lead architecture supporting ML teams
Lead architecture supporting data science teams
Lead architecture supporting product teams
Design data foundations for agentic AI
Design retrieval pipelines
Design grounding sources
Design event histories
Work with Customer Risk tribe
Work with Fraud tribe
Work with Knowledge Graph tribe
Work with Screening tribe
Set technical direction for data ingestion
Set technical direction for data normalization
Set technical direction for data merging
Be deciding voice on data architecture decisions
Make company-wide data architecture decisions
Make make-or-buy choices
Define long-term vendor strategy
Define long-term tooling strategy
How You'll Work.
Team & Collaboration
Cross-tribe initiatives; Engineering teams; Data Science teams; Product teams; SRE teams; ML engineers; Data scientists; Customer Risk tribe; Fraud tribe; Knowledge Graph tribe; Screening tribe
Communication Scope
Written communication; Verbal communication; Technical documentation; Executive presentations
Process & Methodology
Roadmap planning
Full Job Description
What you will be doing We are looking for an experienced Principal Data Engineer to lead the design and evolution of the data platform that powers our AML/KYC and Fraud products. Our platform depends on ingesting, transforming and serving billions of signals every day: sanctions and watchlist data, adverse media, corporate registries, transaction events and customer records, all flowing into a real-time financial crime intelligence knowledge graph used by thousands of customers across the world. As a Principal Data Engineer you will set the medium to long term technical direction for our data infrastructure. You will partner with Engineering, Data Science, Product and SRE leadership on cross-tribe initiatives, coach engineers at every level, and tackle the data problems that no single team can solve alone. You will also represent ComplyAdvantage at engineering and industry events. Your impact will shape the data foundations on which ComplyAdvantage's AI, screening and monitoring products are built. Your work will directly affect how quickly and accurately our customers can detect money laundering, terrorist financing, sanctions evasion and other financial crime, and make that crime a thing of the past. Scope of the role Scope of Principal Engineers at ComplyAdvantage Sets the medium to long term technical direction for the data domain, working with the VP of Engineering and senior data science, data governance and engineering leaders. Leads the architectural design of complex, business-critical data systems that span multiple tribes and affect the whole company. Shapes how engineering teams work across the organisation, including data quality standards, tooling and ways of working. Tackles the hardest data problems and ships work with direct impact on company goals. Acts as an active interviewer, helps improving the hiring process, and coaches engineers across the engineering organisation. Represents ComplyAdvantage at meet-ups, conferences and industry forums. Data
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