Technical Lead - Pricing & Market Data (Cloud & Data Migration)

Technical Leadership & Architecture

• Lead end-to-end technical design and execution of migrating pricing and market data platforms from legacy databases to cloud-native architectures.
• Define scalable, high-performance data models optimised for time-series and write-heavy workloads.
• Ensure solutions meet functional and non-functional requirements including performance, scalability, availability, security, and auditability.
• Document solution architectures, technical decisions, and implementation standards.

Data Migration & Engineering

• Design and govern data migration strategies ensuring functional parity, historical integrity, and data lineage.
• Oversee ETL pipelines, parsers, and system interfaces with a focus on low latency and resilience.
• Define and enforce engineering standards for data quality, performance tuning, and platform reliability.

Business & Stakeholder Engagement

• Work closely with business stakeholders including Trading, Risk, and Quant teams to translate complex business requirements into robust technical solutions.
• Facilitate design reviews, technical workshops, and solution walk-throughs to align stakeholders and secure sign-off.
• Provide clear progress reporting, risk identification, and issue resolution to senior stakeholders.

Delivery & Governance

• Drive delivery within Agile frameworks (SCRUM / Kanban), including estimation, backlog management, and acceptance criteria definition.
• Embed robust controls including audit trails, regulatory compliance, and data retention policies.
• Identify technical risks and proactively drive mitigation strategies.

Team Leadership

• Provide technical leadership to engineering teams, including mentoring and code/design reviews.
• Contribute to hiring decisions and capability building as required.

Core Experience

• 7 10+ years of experience in data engineering and technical delivery roles.
• Strong hands-on experience designing and delivering cloud-based data platforms.
• Advanced expertise in Apache Cassandra, including data modelling, replication strategies, and performance tuning.
• Strong background in relational databases (e.g. PostgreSQL) and large-scale cloud migrations.

Technical Skills

• Data architecture for pricing, market data, and financial time-series datasets.
• ETL and data pipeline engineering (Spark-based frameworks desirable).
• Strong programming skills in Python (preferred) or Java.
• Experience optimising SQL and NoSQL performance and defining API-based data services.
• Familiarity with AWS or Azure cloud environments.
• Agile delivery experience using tools such as Azure DevOps or equivalent.

Domain Knowledge

• Solid understanding of pricing and market data domains, including:

• End-of-Day vs real-time pricing
• Curve construction and remarking
• Independent Price Verification (IPV)
• Cross-referencing and bitemporal data concepts

• Experience working in regulated financial environments (e.g. SOX or equivalent controls).

Preferred / Desirable Experience

• Experience with Enterprise Data Management (EDM) platforms (e.g. Gresham or similar).
• Prior involvement in large-scale greenfield builds or legacy-to-cloud migrations.
• Familiarity with market data vendors such as Bloomberg, Refinitiv, Platts, Argus.

Strong attention to detail and commitment to engineering excellence.