Data Integration Analyst
Solidus Labs provides an AI-powered compliance platform for modern financial and digital-asset markets. Its HALO platform supports trade surveillance, transaction monitoring, execution-quality supervision, token and stablecoin monitoring, and case management for regulated market participants.
Funding history
About Solidus Labs
Solidus Labs operates a multidimensional compliance and market-integrity platform built for crypto and broader financial markets. Its technology correlates trading activity with on- and off-chain signals, funding flows, and social sentiment to detect market abuse and financial-crime risks. The company serves broker-dealers, trading platforms, exchanges, institutional firms, custodians, market makers, token and stablecoin issuers, and regulators, alongside professional services for digital-asset compliance operations.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You onboard and normalize external trade, market, reference, news, and corporate-event data into a standardized schema. You map source fields, coordinate with clients and vendors, validate feeds through UAT, maintain documentation, monitor data quality, and resolve schema gaps with product and R&D teams.
Requirements
- Bachelor's degree in Information Systems, Industrial or Software Engineering, Computer Science, Data Analytics, or a related field, or equivalent practical experience
- 5+ years of experience in data integration, data analysis, support, technical onboarding, or business and operations analysis
- High attention to detail and a structured, methodical approach
- Strong analytical skills and comfort with structured data, schemas, field-level mapping, and tabular formats
- Excellent communication and stakeholder management skills
- Strong service orientation and ownership
- Exposure to data integration, ETL, or adapter development workflows
- Scripting or query experience such as Python or SQL
- Experience with financial or market data or trading systems is a plus
- Familiarity with Level 1 and Level 2 market data and order and execution lifecycle concepts is a plus
Responsibilities
- Onboard client trade data into the normalized target format
- Specify transmission methods including flat files, SFTP, APIs, Kafka JSON, and FIX
- Map source fields to the standardized schema
- Coordinate and integrate market data feeds
- Scope market-data requirements including Level 1 and Level 2 depth
- Work with vendors to obtain market data
- Handle news, corporate-event, client-reference, and other vendor feeds
- Drive integrations from initial samples through validated production ingestion
- Maintain mapping documentation and source-to-target references
- Monitor feed health and data quality
- Flag anomalies and communicate schema gaps to stakeholders