Data Architect
Role details
Job location
Tech stack
Job description
This is a great opportunity for a strong developer or data engineer who's ready to step into architecture.
You won't be building AI models or acting as a data scientist. Instead, you'll help shape how AI and data solutions are designed and used across the enterprise. This role focuses on defining architecture patterns, guiding teams, and ensuring scalable, secure solutions-especially across AWS platforms and Snowflake environments.
If you enjoy thinking beyond just coding-understanding why systems are designed a certain way and helping others build them correctly-this role is a strong fit. What You'll Be Doing
- Partner with senior architects to define and document AI and data architecture patterns
- Help establish and enforce platform standards, guardrails, and best practices
- Evaluate new use cases and ensure the right data pipelines and services are in place
- Advise teams on data ingestion, storage, analytics, and AI enablement approaches
- Ensure solutions align with security, compliance, and regulatory requirements
- Collaborate with Agile teams to guide architecture decisions (without owning delivery)
Requirements
- 2-8 years of experience (ideal: senior developer or data engineer moving toward architecture)
- Strong engineering foundation with architectural thinking
- Hands-on experience with:
- AWS (compute, analytics, serverless, databases, integration)
- Data architecture concepts (ingestion, storage, warehousing, security)
- Snowflake (data access patterns, not necessarily deep admin work)
- Foundational understanding of AI/GenAI concepts:
- LLMs, integrations, monitoring, observability
- Ability to clearly communicate technical concepts to both technical and non-technical audiences
- Comfortable working in regulated environments (financial services experience is a plus)
Nice to Have
- Exposure to CI/CD and DevOps practices
- Experience with:
- Data tools (Matillion, Pentaho, DataStage)
- APIs (REST, JSON, API gateways)
- Programming in Python or R
- Familiarity with:
- Emerging AI patterns (agentic workflows, AI-assisted development tools)
- Experience with containers and orchestration (Docker, Kubernetes, OpenShift)
What Makes Someone Successful Here
- You've built real systems and can explain how and why they work
- You're curious and want to grow into architecture (not already a senior architect)
- You're interested in both data and AI, not just one or the other
- You bring strong follow-through and ownership, even without direct build responsibility
Benefits & conditions
Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee's needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc. Pay Disclaimer