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Alpha FMC

Client data platform for investment managers

Data Engineering Consultant - Snowflake

Data EngineeringConfirmed live in the last 24 hours
Full-timeUnited States

About the Job

Requirements

  • A bachelor's degree in Risk Management, Business Management, Business Analytics, Economics, Engineering, or a related discipline.
  • At least 1–3 years of proven consulting experience at a recognized consulting firm or in an in-house consulting or business analyst role at a leading financial institution.
  • Experience within financial services, preferably in the insurance industry.
  • Excellent consulting and problem-solving skills, and familiarity with recognized project and consulting frameworks and business process mapping.
  • Excellent written and verbal communication skills, the ability to articulate complex problems and solutions simply, logically, and impactfully, and executive presentation skills.
  • A proven track record of building and sustaining lasting relationships with team members.
  • Intellectual capacity and ability to think innovatively to understand complex issues and develop creative solutions.
  • Ability to multitask and engage in multiple initiatives concurrently.
  • Flexibility to travel up to 75%.
  • A bachelor's or master's degree in Computer Science, Information Systems, or a related field is preferred.
  • Proven experience (1–3+ years) as a Data Engineer, with recent hands-on experience in Snowflake and experience in dbt.
  • Proficiency in Qlik Replicate, Qlik Compose, GitHub, dbt Labs, and Astronomer for data integration, replication, and transformation.
  • A good understanding of data engineering principles, data modeling, extract, transform, and load (ETL) processes, and data warehousing concepts.
  • Recent hands-on exposure to Snowflake, including data ingestion, storage, performance optimization, and security.
  • Experience with cloud platforms such as Amazon Web Services (AWS) or Microsoft Azure, and working with cloud-based data solutions and services.
  • Familiarity with data quality, data governance, and data lifecycle management practices.
  • Solid programming skills in Structured Query Language (SQL) and scripting languages such as Python or PowerShell for data manipulation and automation.
  • The ability to perform the essential functions of the position, with or without a reasonable accommodation.

Responsibilities

  • Design, implement, and maintain data pipelines, data integration solutions, and data architecture.
  • Use Snowflake expertise to support efficient and scalable data storage, processing, and analytics.
  • Collect and analyze data, prepare and test hypotheses, and present recommendations to clients to solve business challenges.
  • Proactively support programs and engage directly with client stakeholders to solve their business challenges.
  • Identify and implement solutions to issues facing insurance companies.

Desired Qualifications

  • Experience within financial services, preferably in the insurance industry.
  • A bachelor's or master's degree in Computer Science, Information Systems, or a related field is preferred.

About the Company

Alpha FMC

Client data platform for investment managers

Alpha FMC provides data solutions for investment managers such as hedge funds and asset managers. Its main offering is a Client Data Platform built on Microsoft Azure that consolidates and analyzes client data to reveal the economic value of client relationships. The platform uses modular applications that plug into a firm’s existing data, technology, and analytics setup to support use cases like client engagement, revenue tracking, and regulatory reporting. The company differentiates itself by specializing in investment-manager data solutions and by offering end-to-end support, including software licensing, professional services, and managed services, scalable from boutique managers with $10–$25B AUM to global asset managers with $25B+ AUM. Alpha FMC's goal is to help investment managers optimize operations, grow revenue, improve client engagement, and meet regulatory requirements through a scalable, integrated data platform and ongoing implementation and management services.

Company size
1,001-5,000
Company stage
IPO
Headquarters
London, United Kingdom
Founded
2003

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