Senior Level Solutions Architect Jobs
Senior level solutions architect jobs place experienced professionals in charge of enterprise architecture strategy, end-to-end solution ownership, and the cross-functional teams and projects that deliver at scale. Openings cover on-site, remote, and hybrid settings across Technology & Software, Banking & Financial Services, and Consulting & Professional Services, with employers like Databricks, Stripe, and Databricks hiring at this level now.
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Title: Senior Data & AI Solutions Architect
Location: Remote
Duration: Long term Contract
Overview:
The Senior Data & AI Solutions Architect is a strategic, hands-on technical expert responsible for designing and delivering enterprise data and artificial intelligence solutions across the *** core business lines of Life Insurance, Investments, Membership and Charities. This is a senior level individual contributor role who will be responsible for operating as a domain authority and trusted technical partner driving outcomes through influence, collaboration, and deep expertise. Reporting directly to the Director of Applied AI & Data Science, this role partners closely with business leaders, data analysts, data movement engineers, infrastructure teams, and peer architects to translate business needs into architectures that are secure, governed, and built to scale. The Senior Data & AI Solutions Architect plays a critical role in continuing to modernize the data landscape including bridging legacy mainframe and DB2 platforms with a cloud and AI-enabled ecosystem that includes Snowflake, PostgreSQL, Talend, Microsoft Copilot, Snowflake Cortex, and enterprise large language models. This foundation is essential to enabling Deep Research LLM and agentic AI capabilities across the organization.
Required Skills:
- 12+ years in data architecture, data engineering, or enterprise architecture
- 5+ years in financial services (life insurance, annuities, investments preferred)
- 3+ years hands-on Snowflake experience (Snowpark, Cortex, data sharing)
- 3+ years delivering production LLM / GenAI solutions (RAG, agents, fine-tuning)
- Proven legacy-to-cloud migration experience involving IBM DB2 or equivalent
- Experience with Talend, modern data integration, and real-time ingestion
- Knowledge of relational (e.g., PostgreSQL), NoSQL, NewSQL, and vector/LLM databases
- Demonstrated experience with legacy-to-cloud data migration involving IBM DB2 or equivalent mainframe/relational systems
- Proven delivery of agentic AI systems or multi-model orchestration pipelines in enterprise environments
Title: Senior Data & AI Solutions Architect
Location: Remote
Duration: Long term Contract
Overview:
The Senior Data & AI Solutions Architect is a strategic, hands-on technical expert responsible for designing and delivering enterprise data and artificial intelligence solutions across the *** core business lines of Life Insurance, Investments, Membership and Charities. This is a senior level individual contributor role who will be responsible for operating as a domain authority and trusted technical partner driving outcomes through influence, collaboration, and deep expertise. Reporting directly to the Director of Applied AI & Data Science, this role partners closely with business leaders, data analysts, data movement engineers, infrastructure teams, and peer architects to translate business needs into architectures that are secure, governed, and built to scale. The Senior Data & AI Solutions Architect plays a critical role in continuing to modernize the data landscape including bridging legacy mainframe and DB2 platforms with a cloud and AI-enabled ecosystem that includes Snowflake, PostgreSQL, Talend, Microsoft Copilot, Snowflake Cortex, and enterprise large language models. This foundation is essential to enabling Deep Research LLM and agentic AI capabilities across the organization.
Required Skills:
- 12+ years in data architecture, data engineering, or enterprise architecture
- 5+ years in financial services (life insurance, annuities, investments preferred)
- 3+ years hands-on Snowflake experience (Snowpark, Cortex, data sharing)
- 3+ years delivering production LLM / GenAI solutions (RAG, agents, fine-tuning)
- Proven legacy-to-cloud migration experience involving IBM DB2 or equivalent
- Experience with Talend, modern data integration, and real-time ingestion
- Knowledge of relational (e.g., PostgreSQL), NoSQL, NewSQL, and vector/LLM databases
- Demonstrated experience with legacy-to-cloud data migration involving IBM DB2 or equivalent mainframe/relational systems
- Proven delivery of agentic AI systems or multi-model orchestration pipelines in enterprise environments
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Find JobsSenior Level Solutions Architect Job Market
Who's Hiring
- Databricks24
- Stripe9
- NVIDIA6
- Protiviti4
Top Industries Hiring
- Technology & Software73
- Banking & Financial Services13
- Consulting & Professional Services10
- Insurance8
- Electronics & Hardware8
Senior Level Solutions Architect Jobs: Frequently Asked Questions
How do I get a senior level solutions architect job?
Employers at this level prioritize candidates who have led complex, enterprise-scale architecture decisions, not just supported them. Demonstrating ownership of solution design from discovery through delivery, hands-on depth across cloud platforms and integration patterns, and a record of mentoring junior architects or guiding engineering teams puts a candidate in the strongest position. Certifications like AWS Solutions Architect Professional or Azure Solutions Expert reinforce technical credibility.
Which companies hire senior level solutions architects?
Companies hiring senior level solutions architects right now include Databricks, Stripe, and Databricks, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to come from large enterprises, cloud-native technology firms, and consulting organizations that depend on experienced architects to lead client-facing or internal transformation initiatives.
Are there remote senior level solutions architect jobs?
Yes, and remote availability is strong at this experience level. About 50% of senior level solutions architect openings are remote or hybrid as of November 2026, reflecting how extensively employers rely on distributed teams for architecture work. Senior roles in particular often carry the autonomy and communication expectations that make fully remote arrangements practical.
What makes a solutions architect role senior level?
A senior level solutions architect role is defined by scope and ownership rather than task execution. Responsibilities include setting architectural direction for complex systems, making final design decisions that affect multiple teams or business units, and mentoring mid-level architects and engineers. Senior architects are expected to engage directly with business stakeholders, translate strategic goals into technical roadmaps, and own outcomes across the full delivery lifecycle.
Which industries hire the most senior level solutions architects?
Senior level solutions architect roles concentrate in Technology & Software, Banking & Financial Services, and Consulting & Professional Services, based on current listings on Migrate Mate as of November 2026. These sectors drive demand because they operate large, complex technology environments where experienced architects are needed to govern integrations, modernize legacy infrastructure, and align engineering investment with business priorities.