Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
Tailor your resume to this Solutions Architect - Data Engineering role.
Rezi rewrites your resume against FourLeaf Federal Credit Union's job description. Free.
Tailor your resume to this Solutions Architect - Data Engineering role.
Rezi rewrites your resume against FourLeaf Federal Credit Union's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Solutions Architect - Data Engineering posting at FourLeaf Federal Credit Union — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Solutions Architect - Data Engineering posting at FourLeaf Federal Credit Union — free, in seconds.
About the Role
The Solutions Architect – Data Engineering is responsible for designing, building, and scaling FourLeaf's enterprise data platform. This role translates business requirements into scalable data solutions for analytics, AI, and decision-making.
Responsibilities
- Own and maintain the enterprise data platform providing a unified view of credit union operations.
- Implement a Bronze/Silver/Gold layer strategy with data contracts, transformation standards, and quality expectations.
- Create and maintain enterprise data models for various domains including Member, Deposit, Transaction, Lending, Finance, Marketing, Digital, and Regulatory.
- Define architectural patterns, modeling standards, naming conventions, and documentation practices.
- Develop and maintain reference architectures and reusable design patterns.
- Lead the design of ingestion pipelines for over 75 systems of record.
- Build reusable ETL/ELT patterns, templates, and parameterized components using Matillion.
- Standardize batch, near-real-time, and streaming ingestion methods.
- Implement error handling, retry logic, and alerting frameworks.
- Define approaches for database connections, APIs, file transfers, and CDC-based ingestion.
- Embed validation, profiling, and quality checks within ingestion workflows.
- Lead mid-to-large data initiatives from requirements through deployment.
- Translate complex business needs into technical specifications, data models, and implementation plans.
- Build critical pipelines, transformations, and data products while setting engineering quality standards.
- Serve as the expert problem solver for performance challenges, integration issues, and architectural decisions.
- Collaborate with business analysts, product owners, and subject matter experts to understand requirements and deliver solutions.
- Design frameworks for monitoring data quality, freshness, pipeline reliability, and lineage.
- Implement proactive alerts and incident-response processes.
- Define, measure, and optimize SLAs for critical business processes.
- Introduce automated testing, CI/CD pipelines, and environment management.
- Develop runbooks and lead root-cause analysis for operational issues.
- Implement Snowflake cost-management strategies including monitoring, warehouse optimization, and chargeback/showback models.
- Optimize queries, warehouse sizing, and resource utilization to balance performance and cost.
- Analyze consumption trends and identify optimization opportunities.
- Partner with finance and IT to forecast and manage Snowflake spend.
- Define and enforce development practices supporting cost-efficient usage.
- Use AI tools to accelerate pipeline development, code generation, and documentation.
- Leverage Snowflake Cortex capabilities for data processing and enrichment.
- Identify repetitive engineering tasks suitable for AI-driven automation.
- Stay current on AI advancements relevant to data engineering and evaluate adoption opportunities.
- Build and maintain a semantic layer with consistent business definitions, metrics, and data products.
- Develop comprehensive member-centric data products.
- Deliver enterprise KPIs for various business areas.
- Support regulatory compliance requirements through curated data products.
- Optimize models for consumption in Power BI and Sigma Computing.
- Build the data infrastructure and feature stores required for predictive modeling.
- Enable next-best-action and prescriptive decision-support pipelines.
- Collaborate with data scientists to operationalize models and ensure reliable data flows and monitoring.
- Maintain secure, well-structured environments for experimentation and advanced analytics.
Requirements
- 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.
- 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).
- Experience with modern ETL/ELT tools.
- Matillion expertise strongly preferred.
- Requires at least one of the following certifications: SnowPro Advanced: Architect, SnowPro Advanced: Data Engineer, Matillion Associate or Professional Certification, Databricks Certified Data Engineer Professional, Databricks Certified Machine Learning Professional, AWS Certified Data Analytics or Solutions Architect.
- Proficiency in Snowflake ecosystem (SnowSQL, SnowPipe, and Snowflake Data Sharing).
- Proficiency in SQL.
- Proficiency in Python.
- Proficiency in ETL tools.
- Proficiency in Data Visualization tools (Power BI, Sigma, and or Tableau).
- Proficiency in cloud platforms (AWS, Azure, or Google Cloud).
- Proficiency in Microsoft Office (Excel, Word, PowerPoint, Teams, Outlook).
Skills
- Data Engineering
- Data Architecture
- Database Development
- Enterprise Analytics
- Solution Architecture
- Technical Leadership
- Snowflake
- Matillion
- ETL/ELT
- Cloud Data Platforms
- SQL
- Python
- Data Visualization
- AWS
- Azure
- Google Cloud
- Microsoft Office Suite
- Data Modeling
- Data Governance
- DataOps
- Observability
- FinOps
- AI-Accelerated Development
- Semantic Layer Development
- Machine Learning Support
Location
- Remote
Work Type
- Remote
- Flexible work options
Experience Level
- 15+ years of progressive experience in data engineering, data architecture, database development, and enterprise analytics
- Experience in solution architecture and technical leadership roles
Education Level
- Bachelors Degree in Computer Science, Information Technology, or related field
- Masters degree in Computer Science, Information Technology, or related field is a plus
Salary/Compensations
- $117,456.00 to $146,819.00 annually
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Life insurance
- Disability insurance
- Voluntary benefit programs
- 401(k) plan with employer match
- Reimbursement programs
- Wellness programs
- Annual performance-based bonus
- Competitive 401(k)
- Tuition reimbursement programs
- Fitness reimbursement programs
- Flexible work options
- Volunteer opportunities
- Executive “Water Cooler Chats”
- Clubs, sports, and social events
- Food truck days
About the Company
- FourLeaf Federal Credit Union (FourLeaf) has been committed to the financial well-being of our members for over 80 years.
- Offers a full range of competitive savings and loan products.
- Vision is to enrich the lives of our members, employees, and communities.
- Since 2002, has been an integral community partner through charitable giving and community development programs in New York and beyond.
- Award-winning place to work: Certified Great Place to Work 2024-2025, America’s Greatest Midsize Workplaces 2025, and Fortune’s Best Workplaces in Financial Services & Insurance 2024.