<p>AWS Snowflake Cloud Data Engineer</p> <p>Must Have Technical/Functional Skills</p> <ul> <li>Data Product & Asset Management Expertise: 15+ years of experience in data, analytics, or data product leadership, with hands-on expertise in asset-management data domains (ABOR, IBOR, Performance & Attribution, Investments, Holdings, Transactions, Benchmarks). Deep understanding of data flows and consumers spanning the front, middle, and back office. </li><li>Platform & Architecture Fluency: Proven experience with AWS-based data ecosystems and Snowflake, as well as a strong grasp of data lakehouse architectures, enterprise-scale patterns, and governance/intelligence platforms. </li><li>Leadership & Ways of Working: Ability to translate complex business and investment requirements into well-defined data products. Exceptional communication and credibility across engineering, product, investment, and operations teams, with a product-oriented mindset centered on adoption, usability, and measurable outcomes. </li></ul> <p>Roles & Responsibilities</p> <ul> <li>Lead Enterprise Data Product Enablement: Own and set enterprise standards for data products, establishing clear patterns for ownership, contracts, metadata, quality metrics, SLAs, and lifecycle management. Drive a domain-aligned approach spanning ABOR, IBOR, Performance & Attribution, Holdings, Transactions, Benchmarks, and Reference Data. </li><li>Accelerate Value on Modern Data Platforms: Enable consistent delivery of data products on AWS- and Snowflake-based lakehouse architecture. Collaborate closely with platform engineering to ensure seamless support for ingestion, transformation, analytics, and consumption, while promoting reusable patterns for analytics, reporting, AI/ML, regulatory, and client-facing needs. </li><li>Drive Adoption, Trust, and Governance: Champion self-service and discoverability through advanced data intelligence and governance platforms. Ensure data products are governed by design, balancing regulatory compliance with agility and usability, and collaborate with governance, risk, and compliance teams to embed necessary controls. </li><li>Shape the Data Product Operating Model: Define effective collaboration models among data domains, product owners, platform teams, and consumers. Influence investment prioritization by linking data product initiatives directly to strategic outcomes such as improved decision-making, operational efficiency, risk mitigation, and enhanced client service. </li><li>Lead and Mentor Senior Talent: Develop and lead a high-performing team of senior data product and enablement leaders, setting clear expectations for accountability and business impact, while fostering a culture of data product thinking, reuse, and enterprise stewardship. </li></ul> <p>Salary Range- $120,000-$140,000 a year</p> <p>#LI-SP3</p> <p>#LI-VX1</p>