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RequirementsJob Title: Senior Data Platform / Data Solutions Lead (Capital Markets)OverviewWe are seeking a highly analytical and strategic professional to join our team as a Data Solutions Lead. This role is ideal for someone who thrives in complex, ambiguous environments and enjoys shaping the design and evolution of large-scale data platforms.
You will act as a key thought partner across business and technology teams, driving discussions that define not only what needs to be built, but what should be built.
Key Responsibilities- Partner with business and technology stakeholders to define end-to-end data solutions, moving beyond requirements gathering into solution design and shaping
- Challenge assumptions, identify gaps, and resolve inconsistencies across stakeholder inputs
- Facilitate alignment across teams, especially in situations involving conflicting priorities or viewpoints
- Perform detailed data profiling, gap analysis, and impact assessments across multiple source systems
- Analyze trade, position, and lifecycle event data across various asset classes
- Define and implement data mapping standards, business rules, data lineage, and data quality controls
- Evaluate and recommend data models and architectural approaches
- Collaborate closely with engineering teams to translate business needs into scalable, production-ready solutions
- Influence target-state architecture, platform strategy, and operating model design
- Drive structured discussions to enable decision-making in complex environments
Technology EnvironmentYou will operate within a modern data ecosystem that includes:
- Capital markets trade and position data
- Apache Kafka
- Databricks
- Azure Data Lake Storage (ADLS)
- Dremio
- SQL
- JSON-based data structures
- Large-scale data processing, reconciliation, and analytics workflows
Core Capabilities- Ability to navigate complex discussions with diverse stakeholder groups
- Strong analytical skills to identify root causes and data inconsistencies quickly
- Capability to translate complex data problems into clear, actionable solutions
- Structured thinking with a data-driven approach to decision-making
- Ability to influence stakeholders and drive consensus
- Mindset of a trusted advisor rather than a pure execution-oriented resource
Required Experience- Strong experience working with Capital Markets data (trade, position, lifecycle events)
- Exposure to multiple asset classes (e.g., equities, fixed income, derivatives)
- Proven background in data modeling, data architecture, or advanced data analysis in large-scale environments
