Job Description
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.
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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\n
\n · 10+ years in data architecture/data engineering\n
\n · Strong AWS data platform expertise\n
\n · Experience with data modeling, frameworks, and architecture design\n
\n · Real-time & batch data pipelines (Kafka preferred)\n
\n · Data governance and quality implementation\n
\n · TOGAF or similar certification\n
Desired Skills & Experience\n
\n · AI data architectures (RAG, vector DBs, MCP)\n
\n · Streaming/event-driven systems\n
\n · CI/CD & automation\n
\n · Leadership and team mentorship\n
What You Will Be Doing\n
Tech Breakdown\n
\n · 50% AWS architecture & platform design\n
\n · 30% Data pipelines & streaming\n
\n · 20% AI & advanced data solutions\n
Daily Responsibilities\n
\n · Design data architecture & roadmaps\n
\n · Build scalable pipelines & integrations\n
\n · Mentor teams & drive best practices\n
\n Applicants must be currently authorized to work in the US on a full-time basis now and in the future.\n