Global X ETFs
VP, Data Products & Platform Lead
New York, NY · Vp
Sponsorship not specifiedDetected 8 days ago
PythonGitSQLSnowflakeAWSTerraformAirflowdbtData EngineeringProduct ManagementResearchLeadershipCommunication
About the role
- Your job is to turn that energy into trusted, shared, and governed products rather than fragmented private workarounds.
Responsibilities
- Own the data-product lifecycle: turn recurring needs into governed shared products with clear ownership, SLAs, and a catalog that makes the canonical layer discoverable.
- Drive adoption, measured by the number of teams using the shared layer instead of querying raw vendor tables.
- Partner on the market data and internal reporting build and the Bloomberg / FactSet data consolidation already underway
- make the canonical layer the obvious, safe starting point for AI-assisted building across the firm.
- Leadership & Team-building
- Build and lead a small, senior data team
Requirements
- 8+ years in data, with a genuine blend of hands-on data engineering and data-product ownership - you have both shipped pipelines and models and owned definitions and roadmaps.
- experience standing up data governance in a regulated environment.
- You are expected to be in the codebase, not only the roadmap.
- Deep buy-side / asset-management data domain: security and fund master, holdings, transactions, corporate actions, benchmarks and index constituents, identifiers, and NAV - plus the vendor feeds behind them (Bloomberg, FactSet, fund-accountant data).
- A track record of building and leading a small data team - or clear, evidenced readiness to step into a founding-lead role.
- Modern-stack depth: data catalog (e.g., OpenMetadata, Atlan), orchestration (Airflow / MWAA), managed ingestion, BI (Sigma), Snowflake Cortex and semantic views.
- Hands-on with AI-assisted engineering (e.g., Claude Code, Codex, Kiro) and with building self-serve, semantic, or agent layers over governed data.
- AWS and Terraform / infrastructure-as-code
Nice to have
- Expert SQL and Python
- production experience with Snowflake and dbt (or close equivalents).
- Demonstrated ownership of a canonical data model or data standards across multiple consuming teams.
- Strong written and verbal communication
- able to set definitions and defend prioritization with executives and compliance.
- ETF / 1940-Act fund experience
- familiarity with SEC recordkeeping (Rule 204-2), Regulation S-P, 15(c) board reporting, and the Tailored Shareholder Reports regime.
Compensation
- Global X offers a competitive total compensation package, including base salary, annual performance bonus, and a comprehensive benefits program:
- Competitive base salary with annual performance-based bonus
Benefits
- Competitive base salary with annual performance-based bonus
- Comprehensive medical, dental, and vision insurance
- 401(k) retirement plan with company matching
- Generous paid time off and company holidays
- Professional development and continuing education opportunities
- Life and disability insurance
- Wellness programs and employee assistance program (EAP)
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This listing is sourced directly from Global X ETFs's careers page and normalized into a canonical job model.