Data Infrastructure Architect
4 days ago
ComplyAdvantage is the leading source of AI-driven financial crime risk data and detection technology in the financial industry. We're seeking a seasoned Data Platform Manager to lead the design and implementation of high-performance systems that support financial risk detection.
About the RoleWe are looking for a highly experienced professional with expertise in SQL and NoSQL databases, distributed SQL systems, and stream processing platforms like Kafka and Apache Spark. The ideal candidate will have a strong understanding of cloud infrastructure and its data services, including storage, compute, and networking.
The successful candidate will lead a team of Data Infrastructure Engineers responsible for maintaining and improving the data systems across the organisation. They will be responsible for designing and architecting high-performance, low-latency data systems to meet the requirements of real-time financial risk detection and analysis.
The role requires a good knowledge of Apache Kafka for real-time data streaming and Apache Spark for distributed data processing. Experience with monitoring tools and performance optimisation techniques for large-scale distributed systems is also essential.
Key Responsibilities- Team Leadership: Lead, mentor, and grow a team of Data Infrastructure Engineers responsible for maintaining and improving the data systems across the organisation.
- System Design & Architecture: Design and architect high-performance, low-latency data systems to meet the requirements of real-time financial risk detection and analysis.
- Data Infrastructure Management: Oversee the implementation and management of SQL and NoSQL databases, distributed SQL systems, and stream processing platforms like Kafka and Apache Spark.
- Cross-Functional Collaboration: Work closely with data scientists, software engineers, and risk management teams to understand their data requirements and deliver reliable and efficient solutions.
- Performance Optimisation: Continuously monitor system performance, identify bottlenecks, and implement tuning strategies to ensure systems are performing at optimal levels.
- Innovation & Best Practices: Stay up to date with the latest in data engineering, distributed systems, and database technologies, incorporating best practices into the team's workflows.
- Data Governance & Compliance: Work closely with our Data Governance team to ensure all data systems comply with relevant regulations, privacy standards, and security protocols.
- Project Management: Drive the execution of data infrastructure projects from concept to delivery, managing timelines, resources, and priorities effectively.
- Expertise in SQL and NoSQL databases (PostgreSQL, Cassandra, MongoDB, etc.) and distributed SQL systems (such as YugabyteDB or CockroachDB).
- Good knowledge of Apache Kafka for real-time data streaming and Apache Spark for distributed data processing.
- A strong understanding of cloud infrastructure (AWS, GCP, or Azure) and its data services, including storage, compute, and networking.
- Experience with monitoring tools and performance optimisation techniques for large-scale distributed systems.
- Understanding of data governance, compliance, and security requirements for financial services.
- Experience with data modelling, sharding, and indexing strategies running databases at scale.
- Equity: You'll have a part of what we're building.
- Hybrid work approach: Two days in the office per week.
- Home office budget: Kit out your workspace.
- Opportunity to work on innovative projects.
- Annual learning budget: Drive your performance and career development.
- Enhanced parental leave and childcare benefits.
- Medical insurance through Bupa.
- Pension contribution through The Peoples Pension.
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