Key Responsibilities
- Collaborate with customers to understand data and technology challenges, translating business requirements into scalable technical solutions.
- Design and implement reliable, modular data pipelines, APIs, and integrations for production deployment.
- Monitor, troubleshoot, and enhance data pipelines, ensuring optimal performance, reliability, and security.
- Architect composable integrations and APIs to embed client systems within organizational workflows and strengthen platform partnerships.
- Mentor and guide support and engineering teams to ensure timely, proactive, and effective delivery of technical support and enhancements.
- Oversee operational processes such as incident management, change control, and issue escalation to maintain high service quality.
- Review vendor solutions to ensure technology alignment, adherence to enterprise standards, and platform scalability.
- Lead technical delivery teams, planning and coordinating cross-application dependencies to ensure seamless solution integration.
- Partner with architects, analysts, testers, and project managers to ensure end-to-end delivery of enterprise-grade solutions.
- Conduct root cause analyses, propose permanent resolutions, and drive incident reduction through process improvements.
- Prepare and manage technical implementation plans, ensuring smooth production cutovers and post-implementation support.
- Contribute to architectural decisions, system optimization strategies, and long-term data modernization roadmaps.
Qualifications & Skills
Required:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, Information Systems, or related field.
- 10+ years of experience in Data Engineering, Data Warehousing, or Enterprise System Integration.
- Proven experience in ETL development, data modeling, and performance tuning.
- Strong understanding of data governance, quality, and security principles.
- Excellent problem-solving, analytical thinking, and leadership skills.
- Ability to communicate technical concepts clearly to business and non-technical stakeholders.
Expertise with tools and technologies such as
- ETL / Data Integration: Informatica, DataStage, SAS DI Studio, QuerySurge, Oracle Data Integrator
- Databases: Oracle (7.3–9i), MS SQL Server, SAS Base, Hyperion Essbase, OBIEE
- Scripting / OS: UNIX (AIX, Solaris, Linux), Shell scripting, Windows Server environments
- Version Control & Scheduling: Aldon, Control-M, ClearCase/ClearQuest
- Modeling & Reporting: ERWin, MS Visio, SAS Web Report Studio
Preferred
- Experience with modern data architectures (cloud platforms, data lakes, real-time pipelines).
- Familiarity with APIs, microservices, and containerization.
- Prior experience in the banking or financial services domain (Basel II experience advantageous).