Data Integration Analyst

Description At Solidus, we are shaping the financial markets of tomorrow by providing cutting-edge trade surveillance technology that protects investors, enhances transparency, and ensures regulatory compliance across traditional financial assets and crypto markets. With over 20 years of experience in developing Wall Street-grade FinTech, our team delivers innovative solutions that financial institutions and regulators worldwide rely on to detect, investigate, and report market manipulation, financial crime, and fraud. Headquartered in Wall Street, with offices in Singapore, Tel Aviv, and London, we safeguard millions of retail and institutional entities globally, monitoring over a trillion events each day. Role Overview The Data Integration Analyst owns the end-to-end onboarding and normalization of external data into the platform's standardized schema and aligning an updated schema where new paradigms are identified. The role sits at the intersection of clients, data vendors, product and R&D, translating heterogeneous source feeds — client trade data, market data, and other reference/vendor feeds — into a consistent, load-ready format that powers downstream market inspection and surveillance algorithms. This role is characterized by a highly detail-oriented, analytical, and service-minded individual who is comfortable moving between technical specification and client-facing communication. Success means external data is mapped faithfully, gaps are surfaced and resolved early with R&D, and every feed is validated end to end before it reaches production. Key Responsibilities Onboard client trade data (orders and executions): specify it to the normalized target format and transmission method (flat file / SFTP, API, Kafka JSON, FIX, etc.), map source fields to the standardized schema, and align the feed to the standard load process. Coordinate and integrate market data feeds: scope the requirement per use case (including Level 1 vs Level 2 depth), align with vendors to