Sr Solutions Architect – Digital​/Data Platforms; Azure & Databricks

Job Title

The Sr Solutions Architect – Digital/Data Platforms (Azure & Databricks)

This role blends deep technical expertise across digital, data, cloud, and AI architecture with strong product intuition, security awareness, and leadership. You will play a critical role in ensuring digital initiatives are scalable, secure, ethical, and cost‑efficient while being fully integrated into the broader enterprise ecosystem.

• Digital & Enterprise Architecture
  • Define target-state digital architecture across application, data, integration, cloud, and security layers.
  • Develop architecture roadmaps, technology blueprints, and modernization strategies.
  • Lead API strategy, microservices architecture, and event‑driven design.
• Data Architecture & Governance
  • Design and optimize data platforms including databases, data warehouses, and data lakes (Databricks, Snowflake, Big Query, Redshift).
  • Define and implement Master Data Management (MDM), data models, metadata, lineage, and governance frameworks.
  • Ensure data quality, integrity, scalability, and compliance (PCI, PII).
• Cloud Architecture & Platforms
  • Lead cloud architecture, build, and migration efforts across Azure, AWS, or GCP.
  • Design landing zones, networking, IAM frameworks, and cost optimization strategies.
  • Implement cloud-native solutions including serverless, containers, and microservices.
• Integration, Security & API Strategy
  • Design integration patterns (REST, GraphQL, messaging, event streaming).
  • Govern API lifecycle and enforce reusable service interfaces.
  • Apply foundational security principles including encryption, authentication (AuthN), authorization (AuthZ), SSO, and managed identities.
• Technical Leadership & Delivery
  • Provide architecture leadership for complex enterprise initiatives.
  • Lead proofs of concept (POCs), evaluate emerging technologies, and guide engineering teams.
  • Collaborate with product, security, compliance, and business stakeholders.
• Analytics, AI & Digital Enablement
  • Architect platforms supporting BI, AI/ML, and real‑time analytics.
  • Enable digital experiences across omnichannel, e‑commerce, and enterprise workflows.
  • Design and support multi‑agent AI workflows, including planner/supervisor models, state management, routing, and agent interoperability (MCP, A2A protocols).

• 7–10+ years of experience in data engineering, architecture, or digital platform roles.
• Proficiency with cloud computing (AWS/Azure/GCP).
• Expertise in MDM, data modeling, warehousing, lakehouse, ETL/ELT.
• Experience with API design, microservices, and event‑driven architecture.
• Knowledge of cybersecurity, IAM, and compliance frameworks.
• Experience with Dev Ops, CI/CD, containerization.
• Database management skills (SQL/No
  
  SQL).
• Familiarity with modern digital platforms (CMS, PIM, DAM, e‑commerce).
• Strategic thinking, problem‑solving, effective communication, leadership, and cross‑functional collaboration.
• Project and time management.

• Cloud architecture certifications (AWS, Azure, or GCP).
• TOGAF certification.
• Data governance or security certifications (CISM, CISSP, DAMA).
• Experience designing enterprise AI and advanced analytics ecosystems.
• Exposure to emerging multi‑agent AI architectures and frameworks.

Annual base salary range: $160,500 – $185,500. Additional incentive opportunities may include annual cash incentives, sales incentives, or long‑term incentives based on performance objectives.

• Health, dental, vision, and life insurance plans.
• 401(k) savings plan with company matching up to 6%.
• Voya Retirement Plan – employer paid cash balance retirement plan (4%).
• Paid time off: 20 days, nine paid holidays, and a flexible Diversity Celebration Day.
• Paid volunteer time: 40 hours per calendar year.
• Other resources and programs to promote employee well‑being.

• Instill Customer Obsession – Design scalable, secure, and integrated digital platforms that improve customer experiences.
• Transform with Automation/AI – Leverage AI/ML, data platforms, and multi‑agent architectures to enable intelligent automation and faster decision‑making.
• Drive Higher Performance Through Our People – Lead and mentor…