Lead Engineer, Market Data

MIO Partners Inc. (MIO) is a global, world-class investment and advisory institution with a decades-long track record of performance for our clients through multiple market cycles. Our team of approximately 250 people provides asset management and advisory services to current and former McKinsey employees. We manage more than $20 billion in assets across public and private markets. We are headquartered in New York City, with offices in Atlanta, Georgia; West Palm Beach, Florida; Germany; Hong Kong; Singapore; Spain; and the UK.We provide objective advice on long-term wealth building and create distinctive investment products that deliver value relative to market-based benchmarks. We operate two core lines of business: (i) our advisory team provides advice, wealth planning, and retirement services to approximately 2500 individual clients, and (ii) our investments business consists of alpha-seeking alternative investment strategies across public and private markets.A defining characteristic of our business is our perfect alignment with our clients. Our extraordinary mandate as a boutique investment and advisory firm, grounded in a core set of principles, enables us to create unique products and services while keeping our clients’ interests front and center.Much of our success can be attributed to our insatiable intellectual curiosity. We seek to hire individuals who are passionate about our mission and values, and who always strive toward excellence. We care about fostering a culture of continual improvement, as individuals and as an organization, and are excited to work with individuals who have a similar growth mindset. We are proud to have a culture that promotes the highest ethical standards and investor-focused values, alongside a commitment to diversity and inclusivity and a highly collaborative work environment.MIO (and related entities) is an independent, indirect, and wholly owned subsidiary of McKinsey & Company.PositionMIO is seeking a Lead Engineer to drive the evolution of our market data platform. This role sits within the Research & Investment Technology team and reports directly to the Director of Research & Investment Technology.This is a senior, hands-on leadership role responsible for assessing the current architecture and leading the design and build-out of a next-generation, scalable data platform.You will own the end-to-end ingestion, modeling, and distribution of market data across multiple vendors (e.g., Bloomberg, LSEG, ICE), while guiding architectural decisions, mentoring engineers, and establishing best practices across data engineering and platform design.Primary ResponsibilitiesArchitecture Review & Platform Build-OutAssess the current market data architecture, identify gaps, and define a target-state architecture in collaboration with the Director of Research & Investment TechnologyLead the design and implementation of a scalable, resilient, and extensible data platformEstablish architectural principles, standards, and best practices across data engineeringDrive re-architecture initiatives to improve performance, scalability, and maintainabilityTechnology & Tooling LeadershipLead evaluation and selection of core data platform tools and frameworks, including ETL/ELT pipelines, workflow orchestration (e.g., Airflow), data storage (lakes, warehouses), and caching layers (e.g., Redis)Make build vs. buy decisions and define the long-term data technology stackStandardize tooling and promote engineering best practices across the teamData Pipeline Development (Hands-On)Architect and build robust ETL/ELT pipelines for ingesting and processing data from multiple vendors (e.g., Bloomberg, LSEG, ICE, etc.)Design workflows for data normalization, symbology mapping, enrichment, and distributionImplement monitoring, alerting, and failure recovery mechanismsWork hands-on with large-scale financial datasetsData Modeling & Database DesignLead the design of scalable data models for market and reference dataDefine canonical data models and schema standards across asset classesOptimize database design for performance, flexibility, and analytical use casesDesign systems to handle vendor-specific schemas, symbology mapping, and entitlementsCaching & Performance OptimizationDesign and implement caching strategies (e.g., Redis) to support low-latency data accessOptimize data access patterns and overall system performanceBalance real-time and batch processing requirementsCloud & Infrastructure (AWS)Partner with DevOps to design and manage cloud-native data platforms using AWS services (e.g., S3, Lambda, Glue, EMR, Redshift, ECS/EKS)Optimize infrastructure for cost, performance, and scalabilityTeam Leadership & MentorshipLead and mentor a team of data engineers, setting technical direction and standardsGuide the team on tool selection, architectural decisions, and implementation approachesConduct code and design reviews with a focus on scalability and maintainabilityFoster a culture of ownership and engineering excellenceDesired background10-12+ years of experience in data engineering, data architecture, or related fieldsProven experience evaluating and re-architecting data platforms at scaleStrong hands-on experience building distributed data pipelines and systemsDeep expertise in AWS-based data architectureStrong programming and data engineering skills, including Python, SQL, workflow orchestration tools (e.g., Airflow), and ETL/ELT frameworksExtensive experience in database design and data modeling, including time-series and financial data, normalized and denormalized schemas, and relational and columnar databasesExperience with caching technologies (e.g., Redis) and performance optimizationSolid understanding of financial markets and asset classes, including fixed income, commodities, equities and derivatives, and digital assetsExperience leading engineering teams and driving architectural decisionsStrong familiarity with market data vendors such as Bloomberg, LSEG, and ICEPreferred QualificationsExperience in a multi-strategy hedge fund, asset manager, or leading market data provider (e.g., Bloomberg, LSEG, ICE Data Services)Familiarity with real-time and streaming architectures (e.g., Kafka, Kinesis)Experience with data governance, lineage, and data quality frameworksExperience building canonical data platforms or enterprise data layersKey CompetenciesStrong architectural vision with hands-on execution capabilityDeep expertise in data modeling and distributed system designAbility to evaluate and select appropriate tools and technologiesStrong leadership, mentoring, and team-building skillsHigh degree of ownership and accountabilityApplicants must be authorized to work in the U.S. without the need for employer-sponsored work authorization, now or in the future.MIO has adopted a flexible, hybrid model that supports a blend of in-office and remote work. Our office is in New York City.Certain US states require MIO Partners, Inc. to include a reasonable estimate of the salary range for this role. Actual salaries may vary and may be above or below the range based on various factors, including, but not limited to an individual’s assigned office location, experience, and expertise. Certain roles are also eligible for bonuses, subject to MIO’s discretion and based on factors such as individual and/or organizational performance. Additionally, MIO offers a comprehensive benefits package, including medical, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement program, financial guidance, and paid time off.Base salary range$225,000—$225,000 USDMIO Partners, Inc. (MIO) is an equal opportunity employer. MIO will consider all applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status. We are committed to protecting your privacy. Please review our Applicant Privacy Policy for a detailed explanation of how we collect, use, and protect your personal information.