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Skills: Data Engineering, Data Product Ownership, SQL, Python, Snowflake
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The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which w…
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New York, New York, United States · On-site
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New York, United States · On-site
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Schultheis & Panettieri, LLPTown of Smithtown, New York, United States · Remote OK
$90k–$150k/yr
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New York, New York, United States · On-site
$150k–$275k/yr
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Skills: M&A, Financial Statement Analysis, Strategic Advisory, Capital Markets, Corporate Restructuring
New York, New York, United States · On-site
The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which w…
Skills: Equity Research, Financial Modeling, Valuation Analysis, Due Diligence, Accounting Concepts
New York, New York, United States · Hybrid
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Skills: Financial Modeling, Valuation Analysis, Transaction Execution, Due Diligence, M&A Advisory
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Establish and lead the firm's data product strategy, governing core investment data and building a canonical data layer. This player-coach role involves writing production code in Python and SQL while hiring and mentoring a senior data team.
Requires 8+ years of experience in data engineering and product ownership with deep expertise in buy-side asset management data. Proficiency in Snowflake, dbt, AWS, and familiarity with SEC recordkeeping regulations is essential.
We are hiring the founding lead for data products and platform: a senior, hands-on builder who will own how the firm defines, governs, and ships its core investment data, and who will grow a small team around them. You will sit at the center of a federated model — every desk, from portfolio management and trading to portfolio administration, finance, research, and compliance, already builds with our data. Your job is to turn that energy into trusted, shared, and governed products rather than fragmented private workarounds. This is a player-coach role: you will set product direction, write production code, and hire and lead as the function grows.
Data Product & Governance
Stand up the firm's first real intake, prioritization, and roadmap for data work — replacing ad-hoc triage with a visible, defensible backlog.
Learn how each function uses the same data, then reconcile divergent definitions into a single set of canonical, documented entities — fund and security master, holdings, classifications, corporate actions, index data — that the firm trusts and reuses.
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.
Hands-on Engineering & Delivery
Build and ship. Write production dbt models in Python and SQL, and design the serving and semantic layers. You are expected to be in the codebase, not only the roadmap.
Harden the platform: alerting on data freshness and pipeline runs, workload isolation, least-privilege service accounts, and managed, monitored ingestion.
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; mentor existing engineers and the embedded analysts across the business.
Establish the operating model — shared repository, review and approval workflow, standards — with the central team as reviewer and enabler, not gatekeeper.
Be the firm's senior voice on data, translating fluently between business stakeholders, compliance, and engineering.
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.
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).
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.
A track record of building and leading a small data team — or clear, evidenced readiness to step into a founding-lead role.
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.
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; experience standing up data governance in a regulated environment.
Snowflake, dbt, Sigma, MWAA / Airflow, AWS (S3, Lambda), GitHub Enterprise, Terraform; Bloomberg and FactSet; Okta for identity; and Claude Enterprise, Claude Code, Kiro, and AWS Bedrock for AI-assisted engineering.
$220,000-$230,000 plus annual bonus
Global X does not accept unsolicited resumes or candidate profiles from recruitment agencies, search firms, or third-party recruiters.
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
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
Hybrid work flexibility
Life and disability insurance
Wellness programs and employee assistance program (EAP)
Global X was founded in 2008. For more than fifteen years, our mission has been empowering investors with unexplored and intelligent solutions. Our product lineup features a wide range of ETF strategies and $78.1 billion in assets under management. While we are distinguished for our Thematic Growth, Income, and International Access ETFs, we also offer Core and other funds to suit a wide range of investment objectives. Explore our ETFs, research and insights, and more atwww.globalxetfs.com.
Global X is a member of Mirae Asset Financial Group (“Mirae Asset”), a global leader in financial services, with $803 billion in assets under management worldwide. Mirae Asset has an extensive global ETF platform ranging across the U.S., Australia, Brazil, Canada, Colombia, Europe, Hong Kong, India, Japan, Korea, and Vietnam.
Beyond Ordinary ETFs®
Global X ETFs was founded in 2008. For more than a decade, our mission has been empowering investors with unexplored and intelligent solutions. Our product lineup features a wide range of ETFs, spanning disruptive technology, equity income, commodities, hard-to-access emerging markets, and more. Or simply put, we strive to offer investors something beyond ordinary. Global X is a member of Mirae Asset Global Investments, a Seoul-based global enterprise which offers asset management expertise worldwide. Explore our ETFs, research and insights, and more at globalxetfs.com Important disclosures: globalxetfs.com/privacy-policy Global X ETFs is a trade name of Global X Management Company LLC and is not to be confused with Global X Funds, which is a separate legal entity with no employees.
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