It Starts With Our Employees
FourLeaf's ultimate goal is to provide the best-in-class member and employee
experience, and it all begins with two things: hiring incredible people and
giving them a great place to work.
What You’ll Do
The Solutions Architect – Data Engineering serves as the principal technical
architect and hands-on engineer responsible for designing, building, and scaling
FourLeaf's enterprise data platform. This role bridges strategic vision with
technical execution, translating business requirements into robust, scalable
data solutions that power analytics, AI, and operational decision-making across
the organization.
This position is open to flexible work options including a remote set up.
Core Contributions
Enterprise Data Architecture
End‑to‑End Architecture Ownership: Design and maintain an enterprise data
platform that provides a unified, governed view of credit union operations
across all domains.
Medallion Architecture: Implement Bronze/Silver/Gold layer strategy with
data contracts, transformation standards, and quality expectations.
Domain Data Modeling: Create and maintain enterprise data models for
Member, Deposit, Transaction, Lending, Finance, Marketing, Digital, and
Regulatory domains.
Governance & Standards: Define architectural patterns, modeling standards,
naming conventions, and documentation practices.
Reference Architecture: Develop and maintain reference architectures and
reusable design patterns for the broader EDAO team.
Data Ingestion & Integration
Pipeline Strategy & Implementation: Lead the design of ingestion pipelines
for 75+ systems of record including digital platforms, payment processors,
lending systems, and third‑party providers.
Matillion Framework Development:
Build reusable ETL/ELT patterns, templates, and parameterized components.
Standardize batch, near‑real‑time, and streaming ingestion methods.
Implement error handling, retry logic, and alerting frameworks.
Integration Patterns: Define approaches for database connections, APIs,
file transfers, and CDC‑based ingestion.
Quality at Source: Embed validation, profiling, and quality checks within
ingestion workflows.
Solution Architecture & Hands‑On Engineering
End-to-End Project Delivery: Lead mid‑to‑large data initiatives from
requirements through deployment.
Technical Solution Design: Translate complex business needs into technical
specifications, data models, and implementation plans.
Hands‑On Delivery: Build critical pipelines, transformations, and data
products while setting engineering quality standards.
Technical Problem-Solving: Serve as the expert problem solver for
performance challenges, integration issues, and architectural decisions.
Stakeholder Collaboration: Work directly with business analysts, product
owners, and subject matter experts to understand requirements and deliver
solutions that meet business needs.
DataOps & Observability
End‑to‑End Observability: Design frameworks for monitoring data quality,
freshness, pipeline reliability, and lineage.
Monitoring and Alerting: Implement proactive alerts and incident‑response
processes.
SLA & Reliability Management: Define, measure, and optimize SLAs for
critical business processes.
Operational Excellence: Introduce automated testing, CI/CD pipelines, and
environment management.
Incident Management: Develop runbooks and lead root‑cause analysis for
operational issues.
Snowflake FinOps & Cost Optimization
Cost Governance: Implement Snowflake cost‑management strategies including
monitoring, warehouse optimization, and chargeback/showback models.
Performance Optimization: Optimize queries, warehouse sizing, and resource
utilization to balance performance and cost.
Usage Analytics: Analyze consumption trends and identify optimization
opportunities.
Budget Management: Partner with finance and IT to forecast and manage
Snowflake spend.
Standards Enforcement: Define and enforce development practices supporting
cost‑efficient usage.
AI‑Accelerated Development
AI‑Assisted Engineering: Use AI tools to accelerate pipeline development,
code generation, and documentation.
Snowflake Cortex Integration: Leverage Cortex capabilities for data
processing and enrichment.
Automation Strategy: Identify repetitive engineering tasks suitable for
AI‑driven automation.
Innovation Leadership: Stay current on AI advancements relevant to data
engineering and evaluate adoption opportunities.
Semantic Layer & Analytics Enablement
Semantic Architecture: Build and maintain a semantic layer with consistent
business definitions, metrics, and data products.
Member 360: Develop comprehensive member‑centric data products that enable
insights into behavior, engagement, and opportunities.
Standardized Metrics: Deliver enterprise KPIs for Lending, Deposits,
Digital, Branch Performance, and more.
Regulatory Analytics: Support NCUA, BSA/AML, GLBA, and other compliance
requirements through curated data products.
BI Integration: Optimize models for consumption in Power BI and Sigma
Computing.
Advanced Analytics & ML Support
Predictive Analytics Infrastructure: Build the data infrastructure and
feature stores required for predictive modeling (risk, churn, behavior,
growth).
Prescriptive Analytics: Enable next‑best‑action and prescriptive
decision‑support pipelines.
MLOps Collaboration: Work with data scientists to operationalize models and
ensure reliable data flows and monitoring.
Analytics Sandbox: Maintain secure, well‑structured environments for
experimentation and advanced analytics.
Assets You Will Bring
Bachelors Degree in Computer Science, Information Technology, or related
field. Masters degree in Computer Science, Information Technology, or related
field. is a plus.
15+ years of progressive experience in data engineering, data architecture,
database development, and enterprise analytics with experience in solution
architecture and technical leadership roles with demonstrated ownership of
enterprise-scale data platforms.
Hands-on experience with cloud data platforms (Snowflake required; additional
cloud DW experience valued). Experience with modern ETL/ELT tools, with
Matillion expertise strongly preferred.
Certifications: This position requires at least one of the certifications
listed below. Additional certifications are considered a plus
SnowPro Advanced: Architect and SnowPro Advanced: Data Engineer
Matillion Associate or Professional Certification
Databricks Certified Data Engineer Professional or Databricks Certified
Machine Learning Professional
AWS Certified Data Analytics or Solutions Architect
Computer Skills: Snowflake ecosystem (SnowSQL, SnowPipe, and Snowflake Data
Sharing), SQL, Python, ETL tools, Data Visualization tools (Power BI, Sigma,
and or Tableau), cloud platforms (AWS, Azure, or Google Cloud). Microsoft
Office (Excel, Word, PowerPoint, Teams, Outlook).
The estimated salary for this role is $117,456.00 to $146,819.00 annually.
(FourLeaf Federal Credit Union offers a comprehensive benefits package,
including medical, dental, and vision coverage; life and disability insurance;
voluntary benefit programs; a 401(k) plan with employer match; reimbursement and
wellness programs; and an annual performance-based bonus.) In addition to the
salary or hourly rate listed above there may be other compensation & benefits
available.
#LI-Remote
What Sets Us Apart?
In addition to our comprehensive benefits, we invest in employee connection and
well-being through:
Competitive 401(k)
Tuition and fitness reimbursement programs
Flexible work options
Volunteer opportunities
Executive “Water Cooler Chats”
Clubs, sports, and social events
Food truck days
….and more!
Who is FourLeaf?
FourLeaf Federal Credit Union (FourLeaf) has been committed to the financial
well-being of our members for over 80 years. Through our full range of
competitive savings and loan products, you can trust us in every step of your
financial journey. From applying for a credit card to closing on your mortgage
to opening your child’s first savings account, FourLeaf is here to help you
reach your financial goals.
We are proud to be an award-winning place to work! Some of our recent
recognitions include Certified Great Place to Work 2024-2025, America’s Greatest
Midsize Workplaces 2025, and Fortune’s Best Workplaces in Financial Services &
Insurance 2024.
As a credit union, our vision is to enrich the lives of our members, employees,
and communities. Since 2002, we have been an integral community partner through
our charitable giving and community development programs in New York and beyond.