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Tier‑1 brand and metro location increase competition, but specialized senior data platform and investment domain skills moderate density.
Requires deep investment domain, regulatory and platform experience, limiting straightforward cross‑industry transferability.
Explicit 8–12+ years, deep investment domain and platform/tool requirements create stringent shortlisting filters.
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Lead design and technical execution of investment data models, operational data stores, and Data APIs on the SAMDA platform for regulatory, operational, and analytical use cases.
Ensure data correctness, domain fidelity, API reliability, and operational readiness of investment data products; collaborate with platform and governance teams to align with standards.
Drive creation of reusable data platform capabilities scalable across multiple investment domains; provide hands-on technical leadership and mentorship to engineering teams.
8–12+ years of experience in data engineering, data architecture, or platform engineering roles.
Strong knowledge of investment data domains including holdings, positions, transactions, IBOR, ABOR, and reference data.
Hands-on experience building cloud-native data platforms such as Snowflake or Databricks on AWS/GCP clouds.
Experience designing and operating Data APIs in production within regulated enterprise environments with governance and risk controls.
Deep domain expertise in investment data lifecycle and regulatory requirements, capable of translating complex domain needs into scalable data models and APIs.
Experienced in building operational data stores and reusable data platform capabilities aligning with enterprise data standards and cloud-native ecosystems.
Senior individual contributor accustomed to hands-on technical leadership in regulated environments with strong focus on production readiness, API reliability, and governance compliance.