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Director, Data Platform

Mondrian Alpha

US · On-site Full-time Executive 1w ago

About the role

The Role

We are building the foundational data layer that will underpin how a global investment firm makes decisions for years to come. This is a Director-level mandate to lead the design, development, and ongoing evolution of our Snowflake-based centralized data platform - and to do so as a genuine player-coach: hands-on in the architecture, present in the code, and accountable for developing the team around you.

This role sits directly below the C-suite with a clear line of progression. The person who succeeds here will have shaped the firm's data infrastructure, built a team, and earned the visibility that comes with it. We are looking for someone who has operated at this level in a financial services or institutional context and is ready to own something meaningful.

What You’ll Do

Platform architecture

  • Own the end-to-end design of a Snowflake-based centralized data platform serving the full investment organization
  • Define and enforce data modeling standards, governance frameworks, and ingestion patterns across asset classes and business functions
  • Architect for scale - latency, cost, reliability, and regulatory compliance built in from day one
  • Lead technical evaluation of adjacent tooling: orchestration, transformation, observability, and access layers

Development & delivery

  • Remain active in the build - writing and reviewing production-quality code, not just directing from the sidelines
  • Drive the development of core pipelines: market data, reference data, portfolio analytics, and risk feeds
  • Establish CI/CD practices, testing standards, and deployment rigor across the data engineering function
  • Partner with quant research and technology teams to ensure the platform serves complex, latency-sensitive use cases

Team leadership

  • Build and mentor a team of data engineers - set the technical bar, conduct reviews, and grow the next generation of talent
  • Serve as the internal authority on data platform decisions; present architecture and roadmap to senior stakeholders including C-suite
  • Foster a culture of ownership, craftsmanship, and delivery in a firm where engineering is treated as a competitive advantage
  • Partner with recruiting to attract exceptional engineers to a platform-defining mandate

Firm-wide impact

  • Translate complex data requirements from portfolio managers, traders, and risk teams into elegant, reliable infrastructure
  • Drive the firm's data strategy in partnership with the CTO and COO - this is an active seat at the leadership table
  • Identify and close gaps in data quality, lineage, and accessibility that constrain investment decision-making
  • Position the platform to evolve with the firm's growth - new strategies, geographies, and regulatory requirements

Core stack

  • Snowflake
  • dbt
  • Airflow / Prefect
  • Python
  • SQL
  • Kafka / event streaming
  • Cloud (AWS / Azure)
  • Git / CI-CD
  • Data contracts
  • Data governance

Who you are

  • 8+ years of data engineering experience, with at least 3 years in a senior or lead capacity - you have built platforms, not just contributed to them
  • Deep, production-grade Snowflake expertise - architecture, performance optimization, cost governance, and security; you are the person others come to with hard questions
  • Background in financial services, investment banking, asset management, or institutional consulting - you understand the data domain: market data, reference data, trade lifecycle, risk, and regulatory reporting
  • Demonstrated player-coach track record - you have led teams while remaining technically active; you are not looking to move entirely into management
  • Proven ability to operate cross-functionally in complex organizations - you have communicated with C-suite, worked alongside quants and traders, and navigated the intersection of finance and technology
  • Strong opinions, loosely held - you bring clear architectural conviction and can defend it, but you lead through influence and intellectual credibility rather than authority
  • BS/MS in Computer Science, Engineering, or a related technical field; equivalent experience considered for candidates with exceptional platform credentials

Skills

AirflowAWSAzuredbtData governanceGitKafkaPrefectPythonSQLSnowflakeevent streaming

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