Join a fast-growing organization in the financial services industry, focused on building modern, scalable data platforms using AWS, Kafka, and AI-driven architectures. This role centers on leading enterprise data transformation into next-generation, AI-enabled ecosystems that support advanced analytics, risk modeling, and real-time decision-making.
As part of a newly formed, greenfield initiative, you’ll help shape architecture and standards from the ground up in a build-focused environment. This is a senior, hands-on role focused on technical leadership and advisory, driving strategy, influencing direction, and mentoring teams while remaining deeply involved in design and delivery, without direct people management responsibilities.
Required Skills & Experience
- 10+ years in data architecture/data engineering
- Strong AWS data platform expertise
- Experience with data modeling, frameworks, and architecture design
- Real-time & batch data pipelines (Kafka preferred)
- Data governance and quality implementation
- TOGAF or similar certification
Desired Skills & Experience
- AI data architectures (RAG, vector DBs, MCP)
- Streaming/event-driven systems
- CI/CD & automation
- Leadership and team mentorship
What You Will Be Doing
Tech Breakdown
- 50% AWS architecture & platform design
- 30% Data pipelines & streaming
- 20% AI & advanced data solutions
Daily Responsibilities
- Design data architecture & roadmaps
- Build scalable pipelines & integrations
- Mentor teams & drive best practices
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
