Sr Solutions Architect – Digital/Data Platforms (Azure & Databricks)
$160,500–$185,500 year
HybridHartford, Connecticut, United States
Job Summary
Design enterprise-grade digital solutions by defining target-state architecture across application, data, integration, cloud, and security layers. Develop roadmaps, technology blueprints, and modernization strategies while leading API strategy, microservices architecture, and event-driven design. Optimize data platforms including databases, warehouses, and lakes (e.g., Databricks, Snowflake) and implement Master Data Management, metadata, and governance frameworks to ensure data quality, integrity, and compliance. Lead cloud architecture, build, and migration efforts across Azure, AWS, or GCP, designing landing zones, networking, and IAM frameworks. Govern API lifecycles, enforce reusable service interfaces, and apply foundational security principles including encryption, authentication, and authorization. Provide architecture leadership for complex initiatives, lead proofs of concept, and guide engineering teams while collaborating with product, security, and business stakeholders to enable BI, AI/ML, and real-time analytics.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, IT, Engineering, or related field
- 7–10+ years of experience in data engineering, architecture, or digital platform roles
- Cloud computing (AWS/Azure/GCP)
- MDM, Data modeling, warehousing, lakehouse, ETL/ELT
- API design, microservices, event‐driven architecture
- Cybersecurity, IAM, compliance frameworks
- DevOps, CI/CD, containerization
- Database management (SQL/NoSQL)
- Modern digital platforms (CMS, PIM, DAM, ecommerce)
- Strategic thinking & problem‐solving
- Communication with technical & non‐technical stakeholders
- Leadership & cross‐functional collaboration
- Project and time management
Desired Qualifications
- Cloud architecture certifications (AWS, Azure, or GCP)
- TOGAF certification
- Data governance or security certifications (e.g., CISM, CISSP, DAMA)
- Experience designing enterprise AI and advanced analytics ecosystems
- Exposure to emerging multi-agent AI architectures and frameworks
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