Lead Engineer - Data Architect New

Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development.

What You'll Do:

• Ability to design, structure, and maintain data effectively and securely
• Design and manage relational databases to support enterprise applications and physical data modeling according to project requirements
• Integrate disparate applications across the firm into unified data platform design
• Engage in identifying architectural weaknesses or data integrity problems and recommend appropriate solutions
• Advocate enterprise architecture principles and articulate values propositions to departmental data owners and stewards
• Participate and provide data strategy expertise to technology projects and initiatives
• Assess Data management and functional capabilities for potential vendor solutions
• Partner with business functions and leaders to prioritize business information needs
• Integrate and implement AI and machine learning models to enhance data analytics and decision-making processes.
• Collaborate with data scientists and AI engineers to integrate AI solutions into the data architecture.

What You'll Need:

• Bachelor’s degree in engineering, Science, Information Technology, or other related Discipline
• 6+ years of experience in IT Technical Analysis, implementation of Data Warehousing, Data Mart, relational Databases, and Business Intelligence initiatives
• Experience in implementing and administering relational databases and data warehouse solutions
• Expertise with ETL processes, data APIs, and data structuring
• Hands-on experience with writing SQL and building complex queries
• Experience with AWS cloud services (Aurora, S3, EC2, Redshift)
• Understand principles of data design, data modeling, and data architecture
• Deep experience in logical, physical, and semantic data modeling
• Extensive technical knowledge, analytical skills, and creative thinking for problem-solving
• Proficiency in AI and machine learning frameworks is important.
• Experience in integrating and deploying AI models in a production environment.
• Understanding of AI algorithms and their applications in data analytics.
• Motivated team player with excellent distance interpersonal skills
• Ability to work both independently and collaboratively within geographically dispersed teams
• Ability to self-learn, develop and apply business and technical knowledge quickly
• Excellent communication and influencing skills
• Experience in data governance and data quality a plus
• Experience working with Finance business units a plus

Arcesium and its affiliates do not discriminate in employment matters on the basis of race, color, religion, gender, gender identity, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other category protected by law. Note that for us, this is more than just a legal boilerplate. We are genuinely committed to these principles, which form an important part of our corporate culture, and are eager to hear from extraordinarily well qualified individuals having a wide range of backgrounds and personal characteristics.