Job Responsibilities:
- Leads the architecture and design of complex data management platforms, ensuring alignment with business goals and technological advancements.
- Provides visionary leadership in the adoption and integration of AWS technologies to enhance scalability and performance.
- Drives innovation by exploring and implementing out-of-the-box solutions that address complex business challenges.
- Oversees the delivery of large-scale projects, coordinating efforts across multiple teams and stakeholders to ensure timely and successful outcomes.
- Mentors and guide technical teams, fostering a culture of continuous learning and excellence in software engineering practices.
- Collaborates with product, technology, and data partners to develop and execute strategic data engineering initiatives.
- Champions the development of supportable and scalable products, leveraging industry best practices and emerging technology trends.
- Lead initiatives involving graph databases, such as Neo4j, to enhance data relationships and insights.
- Oversees the design and implementation of entitlement systems, ensuring robust security and access control measures.
- Drives database design and performance tuning efforts to optimize data storage, retrieval, and processing efficiency.
- Implements controls and compliance requirements by liaising with the Corporate Technology Controls (CTC) teams to ensure all required control procedures are being followed.
Required Qualifications, Capabilities, and Skills:
- Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
- Proven track record in technical leadership, including resource management and strategic project delivery.
- Experience in solution architecture, with the ability to design and implement innovative technology solutions.
- Excellent communication skills, capable of engaging with stakeholders at all organizational levels, including senior executives.
- Expertise in AWS technologies and cloud infrastructure, with experience in Kubernetes and other cloud platforms.
- Strong data architecture skills, with experience in building enterprise-scale data solutions.
- Proficiency in traditional databases (Postgres, Oracle, SQL Server) and strong SQL skills.
Preferred Qualifications, Capabilities, and Skills:
- Understanding of financial markets and experience with financial data.
- Experience with graph databases such as Neo4j and AWS managed services like EKS and MSK.
- Experience in building monitoring tools using Datadog, Prometheus, and Grafana.
- Experience in developing entitlement systems and ensuring robust security measures.