AWS Snowflake Cloud Data Engineer
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Job Location:
Boston, NH - USA
Monthly Salary:
Not Disclosed
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
AWS Snowflake Cloud Data Engineer
Must Have Technical/Functional Skills
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.
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.
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.
Roles & Responsibilities
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.
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.
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.
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.
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.
Salary Range- $120000-$140000 a year
