Data Architect; AI & Data Platform

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry‑leading digital solutions. Synechron’s progressive technologies and optimization strategies span end‑to‑end Artificial Intelligence, Consulting, Digital, Cloud & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile‑first applications and more.

Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.

We are seeking an experienced Data Architect to support a strategic Broker Dealer transformation initiative focused on AI‑driven innovation. This role will be responsible for designing and implementing scalable data architectures that enable advanced AI applications, ensuring data consistency, governance, and accessibility across the enterprise.

The ideal candidate will have strong expertise in modern data platforms, AI technologies, cloud‑native architectures, vector databases, and large language model (LLM) integrations. This position requires a hands‑on architect who can bridge the gap between enterprise data strategy and practical AI implementation’s.

• Design and implement scalable enterprise data architectures supporting AI and machine learning initiatives.
• Develop and maintain robust, reliable, and high‑performance data pipelines for structured and unstructured data.
• Create and optimize data models to support AI‑powered applications and analytics platforms.
• Architect and operationalize vector databases for Retrieval‑Augmented Generation (RAG) and LLM‑based solutions.
• Collaborate with AI, engineering, and business teams to ensure data readiness for generative AI use cases.
• Establish data governance, quality, lineage, and consistency standards across platforms.
• Design solutions leveraging AWS Bedrock and Azure OpenAI services.
• Evaluate and implement scalable architectures for AI workloads and production deployment.
• Define best practices for data ingestion, transformation, storage, and retrieval.
• Partner with stakeholders to translate business requirements into technical data solutions.

• 8+ years of experience working with Data Architecture, Data Engineering, and AI‑enabled data platforms.
• Strong understanding of Generative AI, Large Language Models (LLMs), and AI application architecture.
• Experience designing and building scalable data pipelines and modern data platforms.
• Hands‑on experience with AWS Bedrock and Azure OpenAI services.
• Strong knowledge of cloud‑based data architecture on AWS and Azure.
• Experience with data modeling, data governance, metadata management, and data quality frameworks.
• Expertise in data integration, ETL/ELT processes, and distributed data systems.
• Excellent communication and stakeholder management skills.

• AWS Bedrock
• Python
• SQL
• ETL/ELT Frameworks
• Data Governance & Data Quality

• A highly competitive compensation and benefits package.
• A multinational organization with 58 offices in 21 countries and the possibility to work abroad.
• 10 days of paid annual leave (plus sick leave and national holidays).
• Maternity & paternity leave plans.
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long‑/short‑term disability (plans vary by region).
• Retirement savings plans.
• A higher education certification policy.
• Commuter benefits (varies by region).
• Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
• On‑demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (Fin…