Senior Solutions Architect

Job Type: Full-Time/Salary

Jump start your career at Equity Bank! We are currently hiring energetic, team oriented, and community focused individuals to join our team! With a team of best‑in‑class customer service experts, you’ll help to build and expand on client relationships, deliver the banking products and services that meet the unique and individual needs of clients, and create and uphold an atmosphere of superior experience and service.

At Equity Bank we’ll help you invest in your community through volunteer opportunities which align with our company initiatives and core values.

The Senior Solutions Architect is a strategic, hands‑on leader who designs and guides delivery of complex, secure, and scalable solutions across core banking, digital channels, integration platforms, data/AI, and cloud infrastructure. You will translate business objectives into well‑architected solutions, ensure alignment with enterprise standards, and provide technical leadership from discovery through production.

• Lead end‑to‑end solution design (conceptual, logical, physical) for customer‑facing and back‑office systems across banking domains (deposits, lending, digital account opening, payments)
• Define integration approaches (REST APIs, event streaming, ETL/iPaaS, ESB) and canonical data models to reduce duplication and enable reuse
• Produce and maintain architecture artifacts (diagrams, interface contracts, decision records, threat models) aligned to ETS standards

• Partner with product owners, engineering, Info Sec, and vendors to decompose requirements, estimate, and plan delivery (PoC → MVP → scale)
• Provide deep technical guidance during build and cutover; remove delivery impediments, ensure NFRs (performance, availability, resilience, observability) are met
• Govern design quality through reviews and automated checks; approve solution deviations and manage technical debt

• Architect secure workloads on AWS/Azure (identity, networking, storage, container orchestration), leveraging landing zone patterns
• Design data pipelines and interfaces to enterprise data platforms (warehouse/lakehouse) to support analytics and AI use cases; apply data governance controls
• Collaborate on MLOps patterns (feature stores, model deployment/monitoring) where applicable; ensure responsible AI and model risk controls

• Embed security‑by‑design (Zero Trust, encryption, secrets management, certificate management/PKI) and align to GLBA, PCI, SOC, and internal audit findings
• Conduct architecture risk assessments, threat modeling, and support remediation plans; ensure audit‑ready documentation

• Champion architecture principles, patterns, and ETS standards; propose updates based on lessons learned
• Evaluate third‑party and SaaS solutions; lead RFP/RFI technical sections, compare alternatives, and negotiate technical clauses with vendors

• Mentor engineers and junior architects; raise the bar on documentation, testing, automation, and observability
• Communicate architectural decisions to executives and business stakeholders in business terms; align roadmap items to measurable outcomes

• Master’s degree in:
  Computer Science, Information Systems, Business Administration with a Technology or Analytics focus, Data Science or AI (relevant to this role’s AI/data initiatives)
• 8+ years in software/integration architecture or senior engineering, with 3+ years designing enterprise‑scale solutions
• Expertise in at least two of the following:
  • Cloud: AWS/Azure (networking, IAM, containers, serverless, storage)
  • Integration: REST/Graph
    
    QL APIs, event streaming (Kafka), ESB/iPaaS, ETL
  • Data: warehouse/lakehouse architecture, data pipelines, governance
  • Security:
    Zero Trust, PKI/certificates, encryption, secrets mgmt, vulnerability management
• Strong proficiency with architectural documentation and tooling (UML/C4,…